Arturo Hernández Aguirre - Böcker

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.

The Mexican International Conference on Arti?cial Intelligence (MICAI), a yearly international conference organized by the Mexican Society for Arti?cial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country's growing AI community. The proceedings of the previous MICAI events were published by Springer in its Lecture Notes in Arti?cial Intelligence (LNAI) series, vol. 1793,2313,2972,3787,4293,4827,and 5317. Since its foundation the conference has been growing in popularity and improving quality. This volume contains the papers presented at the oral sessions of the 8th Mexican International Conference on Arti?cial Intelligence, MICAI 2009, held November 9-13, 2009, in Guanajuato, Mexico. The conference received for ev- uation 215 submissions by 646 authors from 21 countries. This volume contains revised versionsof 63 articles, which after thorough and careful revision were- lected by the international Program Committee. Thus the acceptance rate was 29.3% This book is structured into 18 sections, 17 of which correspond to a c- ference track and are representative of the main current areas of interest for the AI community; the remaining section comprises invited papers. The conference featured excellent keynote lectures by leading AI experts: Patricia Melin, Instituto Tecnologico de Tijuana, Mexico Dieter Hutter, DFKI GmbH, Germany Josef Kittler, Surrey University, UK Ramon Lopez de Mantaras, IIIA-CSIC, Spain Jose Luis Marroquin, CIMAT, Mexico In addition to the oral technical sessions and keynote lectures, the conf- ence program included tutorials, workshops, and a poster session, which were published in separate proceedings volumes.

Artificial intelligence (AI) is a branch of computer science that models the human ability of reasoning, usage of human language and organization of knowledge, solving problems and practically all other human intellectual abilities. Usually it is charact- ized by the application of heuristic methods because in the majority of cases there is no exact solution to this kind of problem. The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Int- ligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. In 2010, SMIA celebrated 10 years of activity related to the organization of MICAI as is represented in its slogan: “Ten years on the road with AI”. MICAI conferences traditionally publish high-quality papers in all areas of arti- cial intelligence and its applications. The proceedings of the previous MICAI events were also published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vols. 1793, 2313, 2972, 3789, 4293, 4827, 5317, and 5845. Since its foun- tion in 2000, the conference has been growing in popularity and improving in quality.