The book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in practical contexts in the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challenging,...
A new method for Modular Neural Network optimization based on a Multi-objective Hierarchical Genetic Algorithm is proposed in this paper. The modular neural network using a granular approach and its optimization using a multi-objective hierarchical genetic algorithm provides better results than when the...
interactions between the algorithm parameters and the weights for the objective functions and also the analysis of the parameters effect on the problem solution. The procedure also proved to be efficient for the definition of the optimal weights and parameters for the optimization of the welding ...
the multiobjective and nonlinear optimized model was put forward.The option of highway route was created by project network.The optimized model suited the highway route selection with multiobjective and nonlinear was established and the best route would be reached by solution.Four solutions such as...
a我也是一个很友善的人 I also am a very friendly person[translate] a薪酬体系 Salary system[translate] a在颐和园午餐 In Summer Palace lunch[translate] aMultiobjective genetic algorithms applied to solve optimization problems Multiobjective基因算法申请解决优化问题[translate]...
Heuristic computation techniques have been used in a wide range of fields, demonstrating their capacity to solve highly complex optimization problems. This article presents the most common techniques and their extension into the multi-objective optimization field, and emphasizes in the application of ...
The problem of finding the set of full order exchanges that are Pareto-optimal can now be modeled as a multi-objective optimization problem (MOOP), i.e. a constraint optimization problem with multiple objective functions (one for each of the m companies involved). That is, given the set Ξ...
E. Single-Objective/Multi-Objective Optimization F. Optimization Tools 1) Convex Optimization 2) Game Theory 3) Stochastic Optimization(随机优化) 4) Reinforcement Learning G. Evaluation Methods Numerical Analysis, Simulation, Testbed, Realistic Network H. Lessons Learned 1) Single-Objective Optimization ...
Experimental study on the radiative heat transfer in a multi-hole porous radiant burner with internal combustion regime Seyed Mohammad Vahidhosseini, Javad Abolfazli Esfahani, Kyung Chun Kim Article 117732 select article Multi-objective optimization of thermal-hydraulic performance in a microchannel heat ...
Evolution of parameters in the Doyle-Fuller-Newman model of cycling lithium ion batteries by multi-objective optimization Wei-Jen Lin, Kuo-Ching Chen Article 118925 select article Convenience in a residence with demand response: A system dynamics simulation model ...