Results 31 to 40 of about 4,124,575 (251)

Fast multi-swarm optimization for dynamic optimization problems [PDF]

, 2008
This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Yang, S, Li, Changhe, Shengxiang Yang, Yang, Shengxiang, Changhe Li, Li, C   +5 more
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A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems [PDF]

, 2009
Copyright @ Springer-Verlag 2008Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, once converged, cannot adapt quickly to environmental changes. This paper investigates the application of memetic algorithms,
Wang, H, Yang, S, Wang, Dingwei, Yang, Shengxiang, Wang, Hongfeng, Wang, D   +5 more
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Multi-layer optimization algorithm

Journal of Algorithms & Computational Technology, 2022
The optimization of experimental results has repeatedly posed major challenges for scientist and engineers. In this work, a systematic multi-layer optimization scheme is proposed in conjunction with particle swarm optimization algorithm to locate a ...
M Abdalla, J Yamin, E Al-Khawaldeh
doaj   +1 more source

A MOS-based Dynamic Memetic Differential Evolution Algorithm for Continuous Optimization: A Scalability Test [PDF]

, 2010
Continuous optimization is one of the areas with more activity in the field of heuristic optimization. Many algorithms have been proposed and compared on several benchmarks of functions, with different performance depending on the problems.
Antonio LaTorre, José-María Peña, LaTorre de la Fuente, Antonio, Peña Sanchez, Jose Maria, Santiago Muelas, Muelas Pascual, Santiago   +5 more
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JayaX: Jaya algorithm with xor operator for binary optimization

, 2019
Jaya is a population-based heuristic optimization algorithm proposed for solving constrained and unconstrained optimization problems. The peculiar distinct feature of Jaya from the other population-based algorithms is that it updates the positions of ...
Aslan, Murat, Gündüz, Mesut, Kıran, Mustafa Servet   +2 more
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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, Montes De Oca Roldan, Marco, Marco A. Montes de Oca, Mudassar Iqbal, de Oca, Marco A. Montes, Iqbal, Musaddar   +5 more
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A novel pigeon-inspired optimization with QUasi-Affine TRansformation evolutionary algorithm for DV-Hop in wireless sensor networks

International Journal of Distributed Sensor Networks, 2020
In modern times, swarm intelligence has played an increasingly important role in finding an optimal solution within a search range. This study comes up with a novel solution algorithm named QUasi-Affine TRansformation-Pigeon-Inspired Optimization ...
Xiao-Xue Sun, Jeng-Shyang Pan, Shu-Chuan Chu, Pei Hu, Ai-Qing Tian   +4 more
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Multi-Objective Optimization of an Industrial Isoprene Production Unit by Using Genetic Algorithm Approach [PDF]

, 2005
The present work deals with the multi-objective optimization of an industrial Isoprene production unit by using Genetic Algorithm (GA). The purpose of this plant is to produce high purity Isoprene for obtaining synthetic and thermoplastic rubber from a ...
Xavier Joulia, Luiz V. Loureiro, Pascal Floquet, Nascimento, Claudio A. O., Loureiro, Luiz V., Rita M.B. Alves, Joulia, Xavier, Claudio A.O. Nascimento, Floquet, Pascal, Alves, Rita M. B.   +9 more
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Application of Swarm Intelligence Optimization Algorithm in Logistics Delivery Path Optimization under the Background of Big Data

Journal of Function Spaces, 2023
Traditional logistics delivery route optimization algorithm has some problems such as long time to find the optimal route. Based on this, this paper discusses swarm intelligence optimization algorithm and logistics delivery route optimization.
Guofu Zhao
doaj   +1 more source

Inducing decision trees with an ant colony optimization algorithm [PDF]

, 2012
Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B., Johnson, Colin G., Freitas, Alex A.   +2 more
core   +1 more source