Multi-objective optimizationMixed-integer programmingBlack-box optimizationEnergy systems optimization problems are complex due to strongly non-linear system behavior and multiple competing objectives, e.g. economic gain vs. environmental impact. Moreover, a large number of input variables and different ...
Multi-objective optimization provides means of considering multiple objectives and analyze trade-offs. In this study, we compare the weighted-sum method (WSM) and the ε-constrained method, both of which enable the multi-objective problem to be reformulated as a single-objective one. The WSM assi...
Constrained Multi-Objective Optimization for Automated Machine Learning 上传人:leo_wyoming·上传时间:2024-11-05 0% 0% 0% 0% 0% 继续阅读
This paper proposes the Self-Adaptive algorithm for Multi-Objective Constrained Optimization by using Radial Basis Function Approximations, SAMO-COBRA. This algorithm automatically determines the best Radial Basis Function-fit as surrogates for the objectives as well as the constraints, to find new feasib...
Common approaches for multiobjective optimization include: Goal attainment:reduces the values of a linear or nonlinear vector function to attain the goal values given in a goal vector. The relative importance of the goals is indicated using a weight vector. Goal attainment problems may also be subj...
双语例句 Hence, constrained multiobjective and constrained numerical optimization problems are done in this thesis based on double populations.基于双群体搜索机制分别对约束多目标优化问题和约束单目标优化问题进行了研究。 constrained multiobjective optimization更多例句 专业释义 计算机科学技术 多目标约束优化上...
约束多目标优化算法(Constrained Multi-Objective Optimization Algorithm,CMOA)是一种求解具有多个目标和限制条件的优化问题的方法。在实际应用中,许多问题都存在多个相互矛盾的目标和约束条件,如工业生产的资源利用率、成本、生产效率等问题。 CMOA通过将多个目标同时优化,并在满足约束条件的情况下寻找最优解,以实现多目标...
Bayesian optimization has emerged as an efficient approach to optimizing expensive functions, but it has not been, to the best of our knowledge, applied to constrained multi-objective optimization of structural concrete design problems. In this work, we develop a Bayesian optimization framework ...
A two-stage evolutionary algorithm based on three indicators for constrained multi-objective optimization 2022, Expert Systems with Applications Citation Excerpt : In the experiments, eight state-of-the-art CMOEAs, NSGA-II-CDP (Deb et al., 2002), IDBEA (Asafuddoula et al., 2015), NSGA-II...
A new algorithm forconstrained multi-objective optimizationis presented. 提出一种用于求解约束多目标优化问题的新算法,其主要特点是将约束条件转化为一个目标,并引入免疫克隆和免疫记忆机制,使抗体种群的演化过程和记忆单元的演化过程并行进行,更好地实现了抗体间的相互协作,保证了在演化过程中,解集从可行域内部和不...