Results 321 to 330 of about 10,104,704 (372)
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Expert systems with applications, 2020
This paper proposes a novel metaheuristic algorithm called Chimp Optimization Algorithm (ChOA) inspired by the individual intelligence and sexual motivation of chimps in their group hunting, which is different from the other social predators.
M. Khishe, M. Mosavi
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This paper proposes a novel metaheuristic algorithm called Chimp Optimization Algorithm (ChOA) inspired by the individual intelligence and sexual motivation of chimps in their group hunting, which is different from the other social predators.
M. Khishe, M. Mosavi
semanticscholar +1 more source
IEEE transactions on fuzzy systems, 2022
This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm consists of two steps: the first generates randomly the particle population ...
C. Pozna +3 more
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This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm consists of two steps: the first generates randomly the particle population ...
C. Pozna +3 more
semanticscholar +1 more source
Graph Optimal Monomorphism Algorithms
IEEE Transactions on Systems, Man, and Cybernetics, 1980The characterization of graph morphisms in terms of the subgraphs of the Cartesian graph product is extended and used to develop algorithms for an optimal graph monomorphism problem. The objective functional considered is defined as the sum of the weights associated with vertex and arc mappings.
Ghahraman, David E. +2 more
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Optimal Security Liquidation Algorithms
Computational Optimization and Applications, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Butenko, Sergiy +2 more
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Gradient-based optimizer: A new metaheuristic optimization algorithm
Information Sciences, 2020In this study, a novel metaheuristic optimization algorithm, gradient-based optimizer (GBO) is proposed. The GBO, inspired by the gradient-based Newton’s method, uses two main operators: gradient search rule (GSR) and local escaping operator (LEO) and a ...
I. Ahmadianfar, O. B. Haddad, X. Chu
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Knowledge-Based Systems, 2019
This paper presents a novel bio-inspired algorithm called Seagull Optimization Algorithm (SOA) for solving computationally expensive problems. The main inspiration of this algorithm is the migration and attacking behaviors of a seagull in nature.
Gaurav Dhiman, Vijay Kumar
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This paper presents a novel bio-inspired algorithm called Seagull Optimization Algorithm (SOA) for solving computationally expensive problems. The main inspiration of this algorithm is the migration and attacking behaviors of a seagull in nature.
Gaurav Dhiman, Vijay Kumar
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A Lexicographic Optimization Algorithm
Automation and Remote Control, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2014
In this chapter, the basic definition of Genetic Algorithm (GA) and some of the main operations applied in GA are explained. In addition, Swarm Intelligence (SI) is briefly explained as the new branch of intelligent behavior of nature phenomena. Although PSO has been explained in past chapters, this chapter explains PSO in detail and an example of the ...
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In this chapter, the basic definition of Genetic Algorithm (GA) and some of the main operations applied in GA are explained. In addition, Swarm Intelligence (SI) is briefly explained as the new branch of intelligent behavior of nature phenomena. Although PSO has been explained in past chapters, this chapter explains PSO in detail and an example of the ...
openaire +1 more source
Optimizing Particle Swarm Optimization algorithm
2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE), 2014Particle Swarm Optimization (PSO) algorithm has become more popular recently. It has been shown to be an effective optimization tool in most of the applications. In this paper, we have applied the PSO algorithm to a sample Artificial Neural Network (ANN) application, measured the improvement, and optimized the PSO parameters to improve results as much ...
Iraj Koohi, Voicu Z. Groza
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Crayfish optimization algorithm
Artificial Intelligence Review, 2023Heming Jia +3 more
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