Results 11 to 20 of about 50,815 (253)
Metaheuristic Algorithms for Convolution Neural Network [PDF]
Computational Intelligence and Neuroscience, 2016 A typical modern optimization technique is usually either heuristic or metaheuristic. This technique has managed to solve some optimization problems in the research area of science, engineering, and industry.
Arymurthy, Aniati Murni +2 more
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Gyro fireworks algorithm: A new metaheuristic algorithm
AIP AdvancesIn this paper, a novel Gyro Fireworks Algorithm (GFA) is proposed by simulating the behaviors of gyro fireworks during the display process, which adopts a framework of multi-stage and multiple search strategies.
Xiaowei Wang
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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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Firefly Algorithms for Multimodal Optimization [PDF]
, 2009 Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications.
Yang, Xin-She
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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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A new methodology called dice game optimizer for capacitor placement in distribution systems [PDF]
, 2020 Purpose. Shunt capacitors are installed in power system for compensating reactive power. Therefore, feeder capacity releases, voltage profile improves and power loss reduces.
Al-Haddad, Kamal +5 more
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Firefly Algorithm: Recent Advances and Applications [PDF]
, 2013 Nature-inspired metaheuristic algorithms, especially those based on swarm intelligence, have attracted much attention in the last ten years. Firefly algorithm appeared in about five years ago, its literature has expanded dramatically with diverse ...
He, Xingshi, Yang, Xin-She
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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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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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Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications [PDF]
, 2011 Business optimization is becoming increasingly important because all business activities aim to maximize the profit and performance of products and services, under limited resources and appropriate constraints.
A. Chatterjee +23 more
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