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2 produkter
2 produkter
3 195 kr
Skickas inom 5-8 vardagar
Optimization is an essential tool in every project in every large-scale organization, whether in business, industry, engineering, or science. In recent years, algorithmic advances and software and hardware improvements have given managers a powerful framework for making key decisions about everything from production planning to scheduling distribution.This comprehensive resource brings together in one volume the major advances in the field. Distinguished contributors focus on the algorithmic and computational aspects of optimization, particularly the most recent methods for solving a wide range of decision-making problems. The book is divided into three main sections: algorithms, covering every type of programming; applications, where computational tools are put to work solving tasks in planning, production, distribution, scheduling and other decisions in project management; and software, a comprehensive introduction to languages and systems. Designed as a practical resource for programmers, project planners, and managers, it covers optimization problems in a wide range of settings, from the airline and aerospace industries to telecommunications, finance, health systems, biomedicine, and engineering.
2 100 kr
Skickas inom 10-15 vardagar
This text is comprised of chapters dealing with modern approaches to global optimization, including different types of heuristics. The goal of the editors is to provide a true handbook that does not focus on particular applications of the heuristics and algorithms, but rather describes the state of the art for the different methodologies. Topics covered in the handbook include various metaheuristics, such as: simulated annealing; genetic algorithms; neural networks; taboo search; shake-and-bake methods; and deformation methods. In addition, the book contains chapters on new exact stochastic and deterministic approaches to continuous and mixed-integer global optimization, such as: stochastic adaptive search; two-phase methods; branch-and-bound methods with new relaxation and branching strategies; and algorithms based on local optimization, and dynamical search. Finally, the book contains chapters on: the experimental analysis of algorithms and software; test problems; and applications.