Results 11 to 20 of about 11,900 (220)
Journal of Electrical Systems and Information Technology, 2023 Metaheuristic algorithms have become popular in solving engineering optimization problems due to their advantages of simple implementation and the ability to find near-optimal solutions for complex and large-scale problems.
Shamte Kawambwa, Daudi Mnyanghwalo
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Engineering Science and Technology, an International Journal, 2023 Metaheuristic optimization algorithms are global optimization approaches that manage the search process to efficiently explore search spaces associated with different optimization problems. Seahorse optimization (SHO) is a novel swarm-based metaheuristic
Feyza Altunbey Özbay
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PLoS ONE, 2021 Metaheuristic optimization algorithms are one of the most effective methods for solving complex engineering problems. However, the performance of a metaheuristic algorithm is related to its exploration ability and exploitation ability.
Jiahao Fan, Ying Li, Tan Wang
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A novel metaheuristic optimization algorithm: the monarchy metaheuristic
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2019 In this paper, we introduce a novel metaheuristic optimization algorithm named the monarchy metaheuristic (MN). Our proposed metaheuristic was inspired by the monarchy government system. Unlike many other metaheuristics, it is easy to implement and does not need a lot of parameters. This makes it applicable to a wide range of optimization problems.
Ibtissam Ahmia, Méziane Aïder
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Sand cat swarm optimization-based feedback controller design for nonlinear systems
Heliyon, 2023 The control of the open loop unstable systems with nonlinear structure is challenging work. In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm-based state feedback controller design for open-loop unstable systems.
Vahid Tavakol Aghaei +3 more
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Enhanced Metaheuristic Optimization: Wind-Driven Flower Pollination Algorithm
IEEE Access, 2019 The flower pollination algorithm is a new metaheuristic optimization technique that simulates the pollination behavior of flowers in nature. The global and local search processes of the algorithm are performed by simulating the self-pollination and cross-
Mengyi Lei, Yongquan Zhou, Qifang Luo
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Comparison of Recent Metaheuristic Algorithms for Shape Detection in Images
International Journal of Computational Intelligence Systems, 2020 Shape recognition in images represents one of the complex and hard-solving problems in computer vision due to its nonlinear, stochastic and incomplete nature.
Erik Cuevas +3 more
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The Solar System Algorithm: A Novel Metaheuristic Method for Global Optimization
IEEE Access, 2021 A novel metaheuristic algorithm for global optimization, called the Solar System Algorithm (SSA), is presented. The proposed algorithm imitates the orbiting behavior of some objects found in the solar system: i.e., Sun, planets, moons, stars, and black ...
Farouq Zitouni +2 more
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Gold Rush Optimizer. A New Population-Based Metaheuristic Algorithm [PDF]
Operations Research and Decisions, 2023 Today's world is characterised by competitive environments, optimal resource utilization, and cost reduction, which has resulted in an increasing role for metaheuristic algorithms in solving complex modern problems. As a result, this paper introduces the
Kamran Zolfi
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Mathematics, 2022 This paper proposes a new solution methodology based on a mixed-integer conic formulation to locate and size photovoltaic (PV) generation units in AC distribution networks with a radial structure.
Oscar Danilo Montoya +2 more
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