Results 1 to 10 of about 610,742 (235)
Porcellio scaber algorithm (PSA) for solving constrained optimization problems [PDF]
MATEC Web of Conferences, 2017 In this paper, we extend a bio-inspired algorithm called the porcellio scaber algorithm (PSA) to solve constrained optimization problems, including a constrained mixed discrete-continuous nonlinear optimization problem.
Zhang Yinyan, Li Shuai, Guo Hongliang
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Frontiers in Robotics and AI, 2021 This article provides a theory for provably safe and computationally efficient distributed constrained control, and describes an application to a swarm of nano-quadrotors with limited on-board hardware and subject to multiple state and input constraints.
Bryan Convens +6 more
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Dynamic Constrained Boundary Method for Constrained Multi-Objective Optimization
Mathematics, 2022 When solving complex constrained problems, how to efficiently utilize promising infeasible solutions is an essential issue because these promising infeasible solutions can significantly improve the diversity of algorithms.
Qiuzhen Wang +6 more
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On Some Constrained Optimization Problems
Mathematics, 2022 By using appropriate methods of variational analysis, the necessary conditions of optimality are established for new classes of constrained optimization problems involving multiple and curvilinear integral functionals.
Savin Treanţă +3 more
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International Journal of Computational Intelligence Systems, 2022 The constrained optimization problems can be transformed into multi-objective optimization problems, and thus can be optimized by multi-objective evolutionary algorithms.
Xinsheng Lai
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Some results on the filter method for nonlinear complementary problems
Journal of Inequalities and Applications, 2021 Recent studies show that the filter method has good numerical performance for nonlinear complementary problems (NCPs). Their approach is to reformulate an NCP as a constrained optimization solved by filter algorithms.
Jueyu Wang, Chao Gu, Guoqiang Wang
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Clustering-Based Monarch Butterfly Optimization for Constrained Optimization
International Journal of Computational Intelligence Systems, 2020 Monarch butterfly optimization (MBO) algorithm is a newly-developed metaheuristic approach that has shown striking performance on several benchmark problems.
Sibo Huang +3 more
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Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems
Complex & Intelligent Systems, 2022 Aiming at the constrained optimization problem where function evaluation is time-consuming, this paper proposed a novel algorithm called data-driven Harris Hawks constrained optimization (DHHCO).
Chongbo Fu +3 more
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An Improved Genetic Algorithm for Constrained Optimization Problems
IEEE Access, 2023 The mathematical form of many optimization problems in engineering is constrained optimization problems. In this paper, an improved genetic algorithm based on two-direction crossover and grouped mutation is proposed to solve constrained optimization ...
Fulin Wang, Gang Xu, Mo Wang
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Modification of Non-Linear Constrained Optimization [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2004 In this paper we have investigated a new initial parameter, the new parameter is to make balance between interior suitable for inequality constrained exterior method (suitable for equality and inequality constrained) for non-linear constrained ...
Ban Mitras
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