Journal ArticleDOI
Comparison of evolutionary-based optimization algorithms for structural design optimization
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TLDR
The results show that the proposed approach gives better solutions compared to genetic algorithm, particle swarm, immune algorithm, artificial bee colony algorithm and differential evolution algorithm that are representative of the state-of-the-art in the evolutionary optimization literature.About:
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2013-01-01. It has received 256 citations till now. The article focuses on the topics: Meta-optimization & Multi-swarm optimization.read more
Citations
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Journal ArticleDOI
Enhanced superposition determination for weighted superposition attraction algorithm
Adil Baykasoğlu,Şener Akpinar +1 more
TL;DR: The efficiency enhancement study of a recent meta-heuristic algorithm, WSA, is argued by modifying one of its operators, superposition (target point) determination procedure, and a new superposition determination procedure is proposed for the WSA algorithm to be able to behave more consistent during its search.
Journal ArticleDOI
A novel comparative approach on inverse heat transfer analysis of an experimental setup of an extended surface
TL;DR: In this paper, the thermal conductivity, heat transfer coefficient and surface emissivity were considered and compared with different optimization algorithms, including linear least squares, Tikhonov regularization, Lasso estimator and elasticnet regularization.
Book ChapterDOI
Evolutionary Dynamic Reconfiguration of AUVs for Underwater Maintenance
TL;DR: In this chapter, the in-mission optimization of the propulsion and control systems of AUVs is developed, aimed at obtaining parameters to adapt a dynamically reconfigurable propulsion to underwater infrastrtuctures monitoring missions.
Journal ArticleDOI
Improved COA with Chaotic Initialization and Intelligent Migration for Data Clustering
TL;DR: A hybrid Extended Cuckoo Optimization Algorithm (ECOA) and K-means (K) is presented, which is called ECOA-K, capable of yielding the optimized solution with higher purity degree, faster convergence rate and stability in comparison to the other compared algorithms.
References
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Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Journal ArticleDOI
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Dervis Karaboga,Bahriye Basturk +1 more
TL;DR: Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm that is used for optimizing multivariable functions and the results showed that ABC outperforms the other algorithms.
Journal ArticleDOI
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
TL;DR: A co-evolutionary particle swarm optimization approach (CPSO) for constrained optimization problems, where PSO is applied with two kinds of swarms for evolutionary exploration and exploitation in spaces of both solutions and penalty factors.
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