Metaheuristics for Multiobjective Optimisation
The success of metaheuristics on hard single-objective optimization problems is well recognized today. However, many real-life problems require taking into account several conflicting points of view corresponding to multiple objectives. The use of metaheuristic optimization techniques for multi-objective problems is the subject of this volume. The book includes selected surveys, tutorials and state-of-the-art research papers in this field, which were first presented at a free workshop jointly...
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The success of metaheuristics on hard single-objective optimization problems is well recognized today. However, many real-life problems require taking into account several conflicting points of view corresponding to multiple objectives. The use of metaheuristic optimization techniques for multi-objective problems is the subject of this volume. The book includes selected surveys, tutorials and state-of-the-art research papers in this field, which were first presented at a free workshop jointly organized by the French working group on Multi-objective Mathematical Programming (PM2O) and the EURO working group on Metaheuristics in December 2002. It is the first book which considers both various metaheuristics and various kind of problems (e.g. combinatorial problems, real situations, non-linear problems) applied to multiple objective optimization. Metaheuristics used include: genetic algorithms, ant colony optimization, simulated annealing, scatter search, etc. Problems concern timetabling, vehicle routing, and more. Methodological aspects, such as quality evaluation, are also covered.
1A Tutorial on Evolutionary Multiobjective Optimization32Bounded Pareto Archiving: Theory and Practice393Evaluation of Multiple Objective Metaheuristics654An Introduction to Multiobjective Metaheuristics for Scheduling and Timetabling915A Particular Multiobjective Vehicle Routing Problem Solved By Simulated Annealing1336A Dynasearch Neighborhood for the Bicriteria Traveling Salesman Problem1537Pareto Local Optimum Sets in the Biobjective Traveling Salesman Problem: An Experimental Study1778A Genetic Algorithm for Tackling Multiobjective Job-shop Scheduling Problems2019RPSGAe - Reduced Pareto Set Genetic Algorithm: Application to Polymer Extrusion221
