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An improved crow search algorithm with multi strategy disturbance [PDF]
ITM Web of Conferences, 2022 As a new meta heuristic intelligent algorithm, crow search algorithm simulates the behavior of crows following each other and stealing food. Due to the simplicity and robustness of crow search algorithm, it has been successfully applied in many fields ...
Huang Huadong, Liao Heng
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, 2016 A greedy randomized adaptive search procedure (GRASP) is an itera- tive multistart metaheuristic for difficult combinatorial optimization problems. Each GRASP iteration consists of two phases: a construction phase, in which a feasible solution is ...
De Santis, M. +4 more
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Dynamic Initial Weight Assignment for MaxSAT
Algorithms, 2021 The Maximum Satisfiability (Maximum Satisfiability (MaxSAT)) approach is the choice, and perhaps the only one, to deal with most real-world problems as most of them are unsatisfiable.
Abdelraouf Ishtaiwi, Qasem Abu Al-Haija
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Optimal analog wavelet bases construction using hybrid optimization algorithm [PDF]
, 2016 An approach for the construction of optimal analog wavelet bases is presented. First, the definition of an analog wavelet is given. Based on the definition and the least-squares error criterion, a general framework for designing optimal analog wavelet ...
He, Yigang, Li, Hongmin, Sun, Yichuang
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Genetic local search in combinatorial optimization
Discrete Applied Mathematics, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antoon W. J. Kolen, Erwin Pesch
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Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism
Algorithms, 2021 Brain-storm optimization (BSO), which is a population-based optimization algorithm, exhibits a poor search performance, premature convergence, and a high probability of falling into local optima.
Zhenyu Song +5 more
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Heterogeneous differential evolution particle swarm optimization with local search
Complex & Intelligent Systems, 2023 To develop a high performance and widely applicable particle swarm optimization (PSO) algorithm, a heterogeneous differential evolution particle swarm optimization (HeDE-PSO) is proposed in this study.
Anping Lin +4 more
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NILS: a Neutrality-based Iterated Local Search and its application to Flowshop Scheduling [PDF]
, 2011 This paper presents a new methodology that exploits specific characteristics from the fitness landscape. In particular, we are interested in the property of neutrality, that deals with the fact that the same fitness value is assigned to numerous ...
Dhaenens, Clarisse +4 more
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Modified Biogeography-Based Optimization with Local Search Mechanism
Journal of Applied Mathematics, 2013 Biogeography-based optimization (BBO) is a new effective population optimization algorithm based on the biogeography theory with inherently insufficient exploration capability.
Quanxi Feng +5 more
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Improved quantum-behaved particle swarm optimization with local search strategy
Journal of Algorithms & Computational Technology, 2017 Quantum-behaved particle swarm optimization, which was motivated by analysis of particle swarm optimization and quantum system, has shown compared performance in finding the optimal solutions for many optimization problems to other evolutionary ...
Maolong Xi +4 more
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