Results 41 to 50 of about 8,018,297 (258)
Private parameter settings of each metaheuristic optimization algorithm.
, 2021 Private parameter settings of each metaheuristic optimization algorithm.
Sherif I. Barakat (11731509) +2 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
doaj +1 more source
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
doaj +1 more source
Frontiers of Mechanical Engineering, 2023 This paper introduces a new metaheuristic algorithm named the Osprey Optimization Algorithm (OOA), which imitates the behavior of osprey in nature. The fundamental inspiration of OOA is the strategy of ospreys when hunting fish from the seas.
M. Dehghani, Pavel Trojovský
semanticscholar +1 more source
Space truss structures’ optimization using metaheuristic optimization algorithms
, 2023 Metaheuristic optimization algorithms are popular tools for solving engineering optimization problems. In this chapter, space truss structures are optimized using three population-based metaheuristic algorithms: African Vulture Optimization Algorithm ...
Mirjalili, S +7 more
core +1 more source
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
doaj +2 more sources
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
doaj +1 more source
An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation [PDF]
, 2011 This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, effectively merging the two swarm intelligence algorithms ...
Blackwell, Tim +6 more
core +1 more source
, 2021 This paper investigates parallel machine scheduling problems where the objectives are to minimize total completion times under effects of learning and deterioration.
TOKSARI, MEHMET DURAN +4 more
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MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection
, 2022 Metaheuristic algorithms are derivative-free optimizers designed to estimate the global optima for optimization problems. Keeping balance between exploitation and exploration and the performance complementarity between the algorithms have led to the ...
Meidani, Kazem +5 more
core +1 more source