Results 11 to 20 of about 6,087 (206)
An Estimation of Distribution Particle Swarm Optimization Algorithm [PDF]
, 2006 In this paper we present an estimation of distribution par-ticle swarm optimization algorithm that borrows ideas from recent de-velopments in ant colony optimization.
Iqbal, Mudassar +5 more
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A Diversity Model Based on Dimension Entropy and Its Application to Swarm Intelligence Algorithm
Entropy, 2021 The swarm intelligence algorithm has become an important method to solve optimization problems because of its excellent self-organization, self-adaptation, and self-learning characteristics.
Hongwei Kang +4 more
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Particle swarm for attribute selection in Bayesian classification: an application to protein function prediction [PDF]
, 2008 The discrete particle swarm optimization (DPSO) algorithm is an optimization technique which belongs to the fertile paradigm of Swarm Intelligence. Designed for the task of attribute selection, the DPSO deals with discrete variables in a straightforward ...
Freitas, AA +5 more
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Building nearest prototype classifiers using a Michigan approach PSO [PDF]
, 2007 IEEE Swarm Intelligence Symposium. Honolulu, HI, 1-5 april 2007This paper presents an application of particle swarm optimization (PSO) to continuous classification problems, using a Michigan approach. In this work, PSO is used to process training data to
Galván, Inés M. +8 more
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IEEE Access, 2019 Network performance optimization has always been one of the important research subjects in mobile wireless sensor networks. With the expansion of the application field of MWSNs and the complexity of the working environment, traditional network ...
Li Cao, Yong Cai, Yinggao Yue
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Two dimensional particle swarm optimization algorithm for load flow analysis [PDF]
International Journal of Computational Intelligence Systems, 2014 Methods generally used for load flow analysis have been found to be time consuming and complex. This paper presents an optimization algorithm for load flow analysis inspired from swarm optimization techniques.
Shabana Mehfuz, Sumit Kumar
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Orthogonal learning particle swarm optimization [PDF]
, 2010 Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best experience and its neighborhood’s best experience through linear summation.
Zhi-hui Zhan +7 more
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International Journal of Computational Intelligence Systems, 2020 Multiple Input Multiple Output (MIMO) is a technology used to improve the channel capacity of the wireless communication systems. Rapid increase in the number of users has led to data rate demand increased in growing modern wireless communication systems.
Muhammad Asadullah +5 more
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Adaptive particle swarm optimization [PDF]
, 2009 An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Zhan, Z-H. +3 more
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A Hybrid Artificial Grasshopper Optimization (HAGOA) Meta-Heuristic Approach: A Hybrid Optimizer For Discover the Global Optimum in Given Search Space [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 Meta-heuristic algorithms are used to get optimal solutions in different engineering branches. Here four types of meta-heuristics algorithms are used such as evolutionary algorithms, swarm-based algorithms, physics based algorithms and human based ...
Brahm Prakash Dahiya +2 more
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