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...
The possibility to get a set of Pareto optimal solutions in a single run is one of the attracting and motivating features of using population based algorithms to solve optimization problems with multiple objectives. In this paper, constrained multi-objective problems are tackled using an extended ...
General multi-objective optimization and BDRNP problems are introduced in this section. Method for BDRNP problems Particle swarm optimization (PSO) algorithm is a population-based evolutionary optimization technique that is quick, simple, and likely to be used for looking for the best solution in a...
In this paper, an adaptive surrogate-assisted MOEA/D framework (ASA-MOEA/D) is proposed for solving computationally expensive constrained multi-objective optimization problems, in which three specific search strategies are adaptively implemented based on the optimization states of subproblems to achieve ta...
In this paper we propose a novel approach for solving constrained multi-objective optimization problems using a steady state GA and reduced models. Our method called Objective Exchange Genetic Algorithm for Design optimization (OEGADO) is intended for solving real-world application problems that have ...
In this paper, we consider multi-objective optimization problems involving not necessarily convex constraints and componentwise generalized-convex (e.g., semi-strictly quasi-convex, quasi-convex, or explicitly quasi-convex) vector-valued objective functions that are acting between a real linear topologic...
While constrained, multiobjective optimization is generally very difficult, there is a special case in which such problems can be solved with a simple, elegant branch-and-bound algorithm. This special case is when the objective and constraint functions are Lipschitz continuous with known Lipschitz con...
M. Mota Soares, "Multiobjective optimization of constrained layer damping treatments in composite plate structures," Mechanics of Ad- vanced Materials and Structures, vol. 24, no. 5, pp. 427-436, 2016.Madeira JFA, Araujo AL, Mota Soares CM. Multiobjective optimization of con- strained layer ...
constrained nonlinear optimization 非線性約束優化 constrained path optimization 有約束路線優化 constrained combinatorial optimization 組郃約束優化 constrained multiobjective optimization 約束多目標優化 constrained constructive optimization 強制結搆優化 返回constrained optimization...
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...