Applications of Multi-objective Evolutionary AlgorithmsThis book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain. |
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Applications Of Multi-objective Evolutionary Algorithms Carlos A Coello Coello,Gary B Lamont Limited preview - 2004 |
Applications of Multi-objective Evolutionary Algorithms Carlos A. Coello Coello,Gary B. Lamont Limited preview - 2004 |
Common terms and phrases
analysis application approach approximation average binary chapter chromosome clusters Coello Coello complexity Computer Science constraints convergence crossover data sets decision variables defined design variables distribution diversity dominated efficient elite solutions encoding Engineering ensemble error evaluations Evolution Strategy Evolutionary Algorithms Evolutionary Computation example feasible Figure fitness genetic algorithm gradients heuristic IEEE implementation individuals initial integer ISPAES iteration knapsack local search machine learning maximum measure Metaheuristics method minimization MMOKP MOEA MOMGA-II multi-objective optimization Multiobjective Evolutionary Algorithms mutation neural networks non-dominated solutions NPGA NSGA-II objective function objective space obtained operator optimal solutions optimization problem parameters Pareto dominance Pareto front Pareto optimal Pareto optimal set Pareto set partitioning performance PFtrue population quadratic assignment problem randomly scheduling screw search space selection shown simulation single single-objective solutions found solve SPEA strategy subset Table techniques test problems Thiele tion trade-off vector weights Zitzler