Carlos Coello Coello – författare

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26 produkter

Evolutionary Algorithms for Solving Multi-Objective Problems
AvCarlos Coello Coello,Gary B. Lamontm. fl.
Inbunden, Engelska, 2007
1 500 kr
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Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.
Evolutionary Algorithms for Solving Multi-Objective Problems
AvDavid A. van Veldhuizen,Gary B. Lamontm. fl.
E-bok
PDF, Engelska, 2007
1 260 kr
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Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems.
This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.
Evolutionary Algorithms for Solving Multi-Objective Problems
AvGary B. Lamont,David A. Van Veldhuizenm. fl.
E-bok
PDF, Engelska, 2013
1 148 kr
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Researchers and practitioners alike are increasingly turning to search, op timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solv ing problems and inventing new hardware and software that rival human designs. The Kluwer Series on Genetic Algorithms and Evolutionary Computation pub lishes research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implemen tation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). The series also pub lishes texts in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing as long as GEC techniques are part of or inspiration for the system being described. This encyclopedic volume on the use of the algorithms of genetic and evolu tionary computation for the solution of multi-objective problems is a landmark addition to the literature that comes just in the nick of time. Multi-objective evolutionary algorithms (MOEAs) are receiving increasing and unprecedented attention. Researchers and practitioners are finding an irresistible match be tween the popUlation available in most genetic and evolutionary algorithms and the need in multi-objective problems to approximate the Pareto trade-off curve or surface.
Evolutionary Algorithms for Solving Multi-Objective Problems
AvCarlos Coello Coello,Gary B. Lamontm. fl.
Häftad, Engelska, 2014
995 kr
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Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.
Del 8794 - Lecture Notes in Computer Science
Advances in Swarm Intelligence
5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I
AvYing Tan,Yuhui Shim. fl.
Häftad, Engelska, 2014
564 kr
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This book and its companion volume, LNCS vol. 8794 and 8795 constitute the proceedings of the 5th International Conference on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods; novel optimization algorithm; particle swarm optimization; ant colony optimization for travelling salesman problem; artificial bee colony algorithms; artificial immune system; evolutionary algorithms; neural networks and fuzzy methods; hybrid methods; multi-objective optimization; multi-agent systems; evolutionary clustering algorithms; classification methods; GPU-based methods; scheduling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.
Advances in Swarm Intelligence
5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I
AvCarlos Coello Coello,Yuhui Shim. fl.
E-bok
PDF, Engelska, 2014
718 kr
Läs direkt efter köp
This book and its companion volume, LNCS vol. 8794 and 8795 constitute the proceedings of the 5th International Conference on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods; novel optimization algorithm; particle swarm optimization; ant colony optimization for travelling salesman problem; artificial bee colony algorithms; artificial immune system; evolutionary algorithms; neural networks and fuzzy methods; hybrid methods; multi-objective optimization; multi-agent systems; evolutionary clustering algorithms; classification methods; GPU-based methods; scheduling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.
Del 9019 - Lecture Notes in Computer Science
Evolutionary Multi-Criterion Optimization
8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II
AvAntónio Gaspar-Cunha,Carlos Henggeler Antunesm. fl.
Häftad, Engelska, 2015
579 kr
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This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimarães, Portugal in March/April 2015. The 68 revised full papers presented together with 4 plenary talks were carefully reviewed and selected from 90 submissions. The EMO 2015 aims to continue these type of developments, being the papers presented focused in: theoretical aspects, algorithms development, many-objectives optimization, robustness and optimization under uncertainty, performance indicators, multiple criteria decision making and real-world applications.
Evolutionary Multi-Criterion Optimization
8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II
AvCarlos Coello Coello,Carlos Henggeler Antunesm. fl.
E-bok
PDF, Engelska, 2015
712 kr
Läs direkt efter köp
This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimarães, Portugal in March/April 2015. The 68 revised full papers presented together with 4 plenary talks were carefully reviewed and selected from 90 submissions. The EMO 2015 aims to continue these type of developments, being the papers presented focused in: theoretical aspects, algorithms development, many-objectives optimization, robustness and optimization under uncertainty, performance indicators, multiple criteria decision making and real-world applications.
Del 9018 - Lecture Notes in Computer Science
Evolutionary Multi-Criterion Optimization
8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I
AvAntónio Gaspar-Cunha,Carlos Henggeler Antunesm. fl.
Häftad, Engelska, 2015
579 kr
Skickas inom 10-15 vardagar
This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimarães, Portugal in March/April 2015. The 68 revised full papers presented together with 4 plenary talks were carefully reviewed and selected from 90 submissions. The EMO 2015 aims to continue these type of developments, being the papers presented focused in: theoretical aspects, algorithms development, many-objectives optimization, robustness and optimization under uncertainty, performance indicators, multiple criteria decision making and real-world applications.
Evolutionary Multi-Criterion Optimization
8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I
AvCarlos Coello Coello,Carlos Henggeler Antunesm. fl.
E-bok
PDF, Engelska, 2015
710 kr
Läs direkt efter köp
This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimarães, Portugal in March/April 2015. The 68 revised full papers presented together with 4 plenary talks were carefully reviewed and selected from 90 submissions. The EMO 2015 aims to continue these type of developments, being the papers presented focused in: theoretical aspects, algorithms development, many-objectives optimization, robustness and optimization under uncertainty, performance indicators, multiple criteria decision making and real-world applications.
Evolutionary Multi-Criterion Optimization
Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings
AvCarlos Coello Coello,Arturo Hernández Aguirrem. fl.
Häftad, Engelska, 2005
1 155 kr
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Multicriterion optimization refers to problems with two or more objectives (n- mally in con?ict with each other) which must be simultaneously satis?ed. Multicriterion optimization problems have not one but a set of solutions (which represent trade-o?s among the objectives), which are called Pareto optimal - lutions. Thus, the main goal in multicriterion optimization is to ?nd or to - proximate the set of Pareto optimal solutions. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing popularity over the last 10 years. The 3rd International Conference on Evolutionary Multi-criterion Optimi- tion(EMO2005)washeldduringMarch9-11,2005,inGuanajuato,M' exico.This wasthethirdinternationalconferencededicatedentirelytothisimportanttopic, followingthesuccessfulEMO2001andEMO2003conferences,whichwereheldin Z.. urich,SwitzerlandinMarch2001,andinFaro,PortugalinApril2003,respectively. The EMO 2005 scienti?c program included two keynote addresses, one given by Peter Fleming on an engineering design perspective of many-objective op- mization, and the other given by Milan Zeleny on the evolution of optimality.In addition, three tutorials were presented, one on metaheuristics for multiobj- tivecombinatorialoptimizationbyXavierGandibleux,anotheronmultiobjective evolutionary algorithms by Gary B. Lamont, and a third one on performance assessment of multiobjective evolutionary algorithms by Joshua D. Knowles.
Evolutionary Multi-Criterion Optimization
Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings
AvEckart Zitzler,Arturo Hernandez Aguirrem. fl.
E-bok
PDF, Engelska, 2005
1 427 kr
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Evolutionary Multi-Criterion Optimization
First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings
AvEckart Zitzler,Kalyanmoy Debm. fl.
Häftad, Engelska, 2001
1 122 kr
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This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001.The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.
MICAI 2002: Advances in Artificial Intelligence
Second Mexican International Conference on Artificial Intelligence Merida, Yucatan, Mexico, April 22-26, 2002 Proceedings
AvCarlos Coello Coello,Alvaro de Albornozm. fl.
Häftad, Engelska, 2002
1 155 kr
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Arti?cial Intelligence has failed to accomplish at least two highly signi?cant predictions as we enter the new millennium. The English mathematician Alan Mathison Turing predicted that by the year 2000 we would have a machine that could pass the Turing test. The ?lm "2001: A Space Odyssey", portrayed an intelligent computer named HAL which, among other things, was able to speak and understand English, and even read the lips of humans having a conver- tion. Such a machine would be created, according to Arthur C. Clarke, by the year 1997. We have reached the year 2002 and neither of these two predictions have been ful?lled. However, there have been many signi?cant achievements in arti?cial intelligence and several new challenges are now on the horizon. Two years ago, we held the ?rst Mexican International Conference on Art- cial Intelligence, MICAI 2000, which took place on April 11-14, 2000, in the city of Acapulco, M' exico. After a ?rst highly successful conference, we are pleased to introducethesecondMexicanInternationalConferenceonArti?cialIntelligence, MICAI 2002, which took place on April 22-26 in M' erida, Yucat' an, M' exico.The main aim of the conference was to promote research in AI, and cooperation among Mexican researchers and their peers worldwide.
Evolutionary Multi-Criterion Optimization
First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings
AvDavid Corne,Carlos Coello Coellom. fl.
E-bok
PDF, Engelska, 2003
1 427 kr
Läs direkt efter köp
This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001.The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.
MICAI 2002: Advances in Artificial Intelligence
Second Mexican International Conference on Artificial Intelligence Merida, Yucatan, Mexico, April 22-26, 2002 Proceedings
AvOsvaldo C. Battistutti,Luis E. Sucarm. fl.
E-bok
PDF, Engelska, 2003
1 470 kr
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Swarm Intelligence for Multi-objective Problems in Data Mining
AvCarlos Coello Coello,Satchidananda Dehurim. fl.
Inbunden, Engelska, 2009
1 729 kr
Skickas inom 10-15 vardagar
Multi-objective optimization deals with the simultaneous optimization of two or more objectives which are normally in con?ict with each other. Since mul- objective optimization problems are relatively common in real-world appli- tions, this area has become a very popular research topic since the 1970s. However, the use of bio-inspired metaheuristics for solving multi-objective op- mization problems started in the mid-1980s and became popular until the mid- 1990s. Nevertheless, the e?ectiveness of multi-objective evolutionary algorithms has made them very popular in a variety of domains. Swarm intelligence refers to certain population-based metaheuristics that are inspired on the behavior of groups of entities (i.e., living beings) interacting locallywitheachotherandwiththeirenvironment.Suchinteractionsproducean emergentbehaviorthatismodelledinacomputerinordertosolveproblems.The two most popular metaheuristics within swarm intelligence are particle swarm optimization (which simulates a ?ock of birds seeking food) and ant colony optimization (which simulates the behavior of colonies of real ants that leave their nest looking for food).These two metaheuristics havebecome verypopular inthelastfewyears,andhavebeenwidelyusedinavarietyofoptimizationtasks, including some related to data mining and knowledge discovery in databases. However, such work has been mainly focused on single-objective optimization models. The use of multi-objective extensions of swarm intelligence techniques in data mining has been relatively scarce, in spite of their great potential, which constituted the main motivation to produce this book.
Swarm Intelligence for Multi-objective Problems in Data Mining
AvSusmita Ghosh,Satchidananda Dehurim. fl.
E-bok
PDF, Engelska, 2009
2 065 kr
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Advances in Multi-Objective Nature Inspired Computing
AvCarlos Coello Coello,Clarisse Dhaenensm. fl.
Inbunden, Engelska, 2010
1 679 kr
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The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.
Advances in Multi-Objective Nature Inspired Computing
AvLaetitia Jourdan,Clarisse Dhaenensm. fl.
E-bok
PDF, Engelska, 2009
2 044 kr
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The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.
Del 242 - Studies in Computational Intelligence
Swarm Intelligence for Multi-objective Problems in Data Mining
AvCarlos Coello Coello,Satchidananda Dehurim. fl.
Häftad, Engelska, 2012
1 729 kr
Skickas inom 10-15 vardagar
Multi-objective optimization deals with the simultaneous optimization of two or more objectives which are normally in con?ict with each other. Since mul- objective optimization problems are relatively common in real-world appli- tions, this area has become a very popular research topic since the 1970s. However, the use of bio-inspired metaheuristics for solving multi-objective op- mization problems started in the mid-1980s and became popular until the mid- 1990s. Nevertheless, the e?ectiveness of multi-objective evolutionary algorithms has made them very popular in a variety of domains. Swarm intelligence refers to certain population-based metaheuristics that are inspired on the behavior of groups of entities (i.e., living beings) interacting locallywitheachotherandwiththeirenvironment.Suchinteractionsproducean emergentbehaviorthatismodelledinacomputerinordertosolveproblems.The two most popular metaheuristics within swarm intelligence are particle swarm optimization (which simulates a ?ock of birds seeking food) and ant colony optimization (which simulates the behavior of colonies of real ants that leave their nest looking for food).These two metaheuristics havebecome verypopular inthelastfewyears,andhavebeenwidelyusedinavarietyofoptimizationtasks, including some related to data mining and knowledge discovery in databases. However, such work has been mainly focused on single-objective optimization models. The use of multi-objective extensions of swarm intelligence techniques in data mining has been relatively scarce, in spite of their great potential, which constituted the main motivation to produce this book.
Del 272 - Studies in Computational Intelligence
Advances in Multi-Objective Nature Inspired Computing
AvCarlos Coello Coello,Clarisse Dhaenensm. fl.
Häftad, Engelska, 2012
1 679 kr
Skickas inom 10-15 vardagar
The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.
Parallel Problem Solving from Nature - PPSN XII
12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I
AvCarlos Coello Coello,Vincenzo Cutellom. fl.
Häftad, Engelska, 2012
564 kr
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The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 5 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.
Parallel Problem Solving from Nature - PPSN XII
12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I
AvMario Pavone,Giuseppe Nicosiam. fl.
E-bok
PDF, Engelska, 2012
718 kr
Läs direkt efter köp
The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 5 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.
Parallel Problem Solving from Nature - PPSN XII
12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II
AvCarlos Coello Coello,Vincenzo Cutellom. fl.
Häftad, Engelska, 2012
564 kr
Skickas inom 10-15 vardagar
The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 6 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.
Parallel Problem Solving from Nature - PPSN XII
12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II
AvMario Pavone,Giuseppe Nicosiam. fl.
E-bok
PDF, Engelska, 2012
718 kr
Läs direkt efter köp
The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 6 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.

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Carlos Coello Coello – författare

Evolutionary Algorithms for Solving Multi-Objective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems

Advances in Swarm Intelligence

Advances in Swarm Intelligence

Evolutionary Multi-Criterion Optimization

Evolutionary Multi-Criterion Optimization

Evolutionary Multi-Criterion Optimization

Evolutionary Multi-Criterion Optimization

Evolutionary Multi-Criterion Optimization

Evolutionary Multi-Criterion Optimization

Evolutionary Multi-Criterion Optimization

MICAI 2002: Advances in Artificial Intelligence

Evolutionary Multi-Criterion Optimization

MICAI 2002: Advances in Artificial Intelligence

Swarm Intelligence for Multi-objective Problems in Data Mining

Swarm Intelligence for Multi-objective Problems in Data Mining

Advances in Multi-Objective Nature Inspired Computing

Advances in Multi-Objective Nature Inspired Computing

Swarm Intelligence for Multi-objective Problems in Data Mining

Advances in Multi-Objective Nature Inspired Computing

Parallel Problem Solving from Nature - PPSN XII

Parallel Problem Solving from Nature - PPSN XII

Parallel Problem Solving from Nature - PPSN XII

Parallel Problem Solving from Nature - PPSN XII

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