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Hybridization of the Snake Optimizer and Particle Swarm Optimization for continuous optimization problems
Published 2025-07-01Subjects: Get full text
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“Optimizing the Optimization”: A Hybrid Evolutionary-Based AI Scheme for Optimal Performance
Published 2025-03-01Subjects: Get full text
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PARETO-OPTIMALITY AND L-OPTIMAL FOR SOLVING SOME CLASSES OF OPTIMAL CONTROL PROBLEM
Published 2017-10-01Subjects: Get full text
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Optimizing Constrained Engineering Optimization Problems Using Improved Mountain Gazelle Optimizer
Published 2025-01-01“…This study introduces a novel approach to engineering design optimization through the development of an improved mountain gazelle optimizer (iMGO) that incorporates variable neighborhood search (VNS) techniques. …”
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Unstructured Adiabatic Quantum Optimization: Optimality with Limitations
Published 2025-07-01“…Our work indicates a possible limitation of adiabatic quantum optimization algorithms, leaving open the question of whether provable Grover-like speed-ups can be obtained for any optimization problem using this approach.…”
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Bi-Objective Optimization for Transportation: Generating Near-Optimal Subsets of Pareto Optimal Solutions
Published 2025-02-01Subjects: “…bi-objective optimization…”
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Application of Particle Swarm Optimization and Ant Colony Optimization integration in the Aerator Reducer Optimization Design
Published 2015-01-01Subjects: Get full text
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Hybrid Optimization Algorithm of Particle Swarm Optimization and Cuckoo Search for Preventive Maintenance Period Optimization
Published 2016-01-01“…This paper proposed a preventive maintenance period optimization model (PMPOM) to find an optimal preventive maintenance period. …”
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An Adaptive Particle Swarm Optimization Algorithm for Unconstrained Optimization
Published 2020-01-01“…Conventional optimization methods are not efficient enough to solve many of the naturally complicated optimization problems. …”
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An Improved Central Force Optimization Algorithm for Multimodal Optimization
Published 2014-01-01“…This paper proposes the hybrid CSM-CFO algorithm based on the simplex method (SM), clustering technique, and central force optimization (CFO) for unconstrained optimization. CSM-CFO is still a deterministic swarm intelligent algorithm, such that the complex statistical analysis of the numerical results can be omitted, and the convergence intends to produce faster and more accurate by clustering technique and good points set. …”
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Optimizing performance of WPCN based on whale optimization algorithm
Published 2025-05-01Subjects: “…Whale optimization algorithm (WOA)…”
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Application of Nontraditional Optimization Techniques for Airfoil Shape Optimization
Published 2012-01-01“…The method of optimization algorithms is one of the most important parameters which will strongly influence the fidelity of the solution during an aerodynamic shape optimization problem. …”
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Enhanced aquila optimizer for global optimization and data clustering
Published 2025-04-01Subjects: “…Aquila optimizer…”
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PRODUCT OPTIMIZATION METHOD BASED ON ANALYSIS OF OPTIMAL VALUES OF THEIR CHARACTERISTICS
Published 2016-05-01Subjects: “…optimization…”
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EDECO: An Enhanced Educational Competition Optimizer for Numerical Optimization Problems
Published 2025-03-01Subjects: “…educational competition optimizer…”
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Optimal Midcourse Guidance with Terminal Relaxation and Range Convex Optimization
Published 2025-07-01Subjects: “…convex optimization…”
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Discrete Optimal Control Method Based on the Optimal Strategy of Fishing
Published 2015-01-01“…Consideration was given to the discrete optimal control method for the optimal fishing strategy. …”
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