Frank Pettersson , Changwon Suh, Henric Saxen, Krishna Rajan, Nirupam Chakraborti ,Analyzing Sparse Data for Nitride Spinels Using Data Mining, Neural Nets and Multi- objective Genetic Algorithms , Article in Press.Pettersson, F.; Suh, C.; Saxe´n, H.; Rajan, K.; Chakraborti, N. ...
NSGA-I(非支配排序遗传算法)、NSGA-II(带精英策略的非支配排序的遗传算法) Both are multi-objective optimization algorithms based on Genetic Algorithms and Pareto Optimal solution discussion(都是基于遗传算法和帕累托最优解的多目标优化算法). NSGA-II is improved based on NSGA-I with three main improveme...
NSGA-I(非支配排序遗传算法)、NSGA-II(带精英策略的非支配排序的遗传算法) Both are multi-objective optimization algorithms based on Genetic Algorithms and Pareto Optimal solution discussion(都是基于遗传算法和帕累托最优解的多目标优化算法). NSGA-II is improved based on NSGA-I with three main improveme...
17.3 Multiobjective Genetic Algorithms Genetic algorithms (GAs) for single-objective optimization can be extended to provide an effective approach for solving multiobjective optimization problems as well. Since GAs for multiobjective optimization build upon the GAs for single-objective optimization, the con...
Abstract—Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have been criticized mainly for their: 1) O(MN3) computational complexity (where is the number of objectives and is the population size); 2) nonelitism approach; and ...
Index Terms—Constraint handling, elitism, genetic algorithms, multicriterion decision making, multiobjective optimization, Pareto-optimal solutions. I. INTRODUCTION T HE PRESENCE of multiple objectives in a problem, in principle, gives rise to a set of optimal solutions (largely ...
In this work a Multiobjective Genetic Algorithm is developed in order to obtain an appropriate ensemble of neural networks. The algorithm does not use any back-propagation method. Furthermore, it considers directly the classification error instead of the
Sen, Analyzing Leaching Data for Low-Grade Manganese Ore Using Neural Nets and Multiobjective Genetic Algorithms, Mater. Manuf. Process. , 2009, 24 , p 320–330Pettersson, F.; Biswas, A.; Sen, P.K.; Saxen, H.; Chakraborti, N. Analyzing leaching data for low-grade manganese ore ...
4) multi-objective genetic algorithms 多目标遗传算法 1. Deriving multipurpose reservoir operating rule curves using multi-objective genetic algorithms; 基于多目标遗传算法的综合利用水库优化调度图求解 2. Parameter optimization for biomass gasification process based on the multi-objective genetic algorithms...
Roboam, "Optimization of a small passive wind turbine generator with multiobjective genetic algorithms", International Journal of Applied Electromagnetics and Mechanics, Vol. 26, No. 3-4, pp. 175-182, 2007.Abdelli, A., Sareni, B. and Roboan, X. (2007), "Optimization of a small passive...