Results 41 to 50 of about 161,542 (309)
Porcellio scaber algorithm (PSA) for solving constrained optimization problems
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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Sensitivity-Based Change Detection for Dynamic Constrained Optimization
IEEE Access, 2020 In dynamic constrained optimization, changes may occur in either the objective function or constraint functions, or both. However, although research on dynamic optimization has been growing significantly, it is centered mainly around unconstrained ...
Noha Hamza, Ruhul Sarker, Daryl Essam
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Optimal Anytime Constrained Simulated Annealing for Constrained Global Optimization [PDF]
, 2000 In this paper we propose an optimal anytime version of constrained simulated annealing (CSA) for solving constrained nonlinear programming problems (NLPs). One of the goals of the algorithm is to generate feasible solutions of certain prescribed quality using an average time of the same order of magnitude as that spent by the original CSA with an ...
Benjamin W. Wah, Yi-Xin Chen 0001
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Constrained Multiobjective Biogeography Optimization Algorithm
The Scientific World Journal, 2014 Multiobjective optimization involves minimizing or maximizing multiple objective functions subject to a set of constraints. In this study, a novel constrained multiobjective biogeography optimization algorithm (CMBOA) is proposed.
Hongwei Mo +4 more
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Energies, 2022 This paper proposes a modified quasi-opposition-based grey wolf optimization (mQOGWO) method to solve complex constrained optimization problems. The effectiveness of mQOGWO is examined on (i) 23 mathematical benchmark functions with different dimensions ...
Salil Madhav Dubey +2 more
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Hybrid Stochastic Ranking for Constrained Optimization
IEEE Access, 2020 Teaching learning based optimization (TLBO) algorithm is a distinguished nature-inspired population-based meta-heuristic, which is basically designed for unconstrained optimization.
Muhammad Asif Jan +7 more
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Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems
Discrete Dynamics in Nature and Society, 2021 In view of the shortcomings of the whale optimization algorithm (WOA), such as slow convergence speed, low accuracy, and easy to fall into local optimum, an improved whale optimization algorithm (IWOA) is proposed.
Gui-Ying Ning, Dun-Qian Cao
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Spectrally Constrained Optimization
Journal of Scientific ComputingWe investigate how to solve smooth matrix optimization problems with general linear inequality constraints on the eigenvalues of a symmetric matrix. We present solution methods to obtain exact global minima for linear objective functions, i.e., $F(X) = \langle C, X \rangle$, and perform exact projections onto the eigenvalue constraint set.
Casey Garner +2 more
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Stock Portfolio-Optimization Model by Mean-Semi-Variance Approach Using of Firefly Algorithm and Imperialist Competitive Algorithm [PDF]
International Journal of Business and Development Studies, 2018 Selecting approaches with appropriate accuracy and suitable speed for the purpose of making decision is one of the managers’ challenges. Also investing decision is one of the main decisions of managers and it can be referred to securities transaction in ...
Hassan Heidari, Laya Neshatizadeh
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Energy Reports, 2022 This paper investigates energy management systems in micro-grid using an optimization-based approach, optimizing the operating cost related to the energy purchased from the utility grid, the operation cost of the energy storage system, and revenue from ...
Peter Anuoluwapo Gbadega, Yanxia Sun
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