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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A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues
TL;DR: The experimental results for large-sized problems from a large set of randomly generated graphs as well as graphs of real-world problems with various characteristics show that the proposed MPQGA algorithm outperforms two non-evolutionary heuristics and a random search method in terms of schedule quality.
Journal ArticleDOI
Optimal power flow using black-hole-based optimization approach
TL;DR: A new nature-inspired metaheuristic algorithm is proposed to solve the optimal power flow problem in a power system inspired by the black hole phenomenon and seems to be a promising alternative for solving optimal powerflow problems.
Journal ArticleDOI
Adaptive firefly algorithm with chaos for mechanical design optimization problems
TL;DR: An adaptive FA is proposed in this paper to solve mechanical design optimization problems, and the adaptivity is focused on the search mechanism and adaptive parameter settings.
Journal ArticleDOI
Modified cuckoo search algorithm with self adaptive parameter method
Xiangtao Li,Minghao Yin +1 more
TL;DR: Experimental results indicate that the proposed cuckoo search algorithm performs better than, or at least comparable to state-of-the-art methods from literature when considering the quality of the solutions obtained.
Journal ArticleDOI
Adaptive symbiotic organisms search (SOS) algorithm for structural design optimization
TL;DR: Three modified versions of the symbiotic organisms search algorithm are proposed by introducing adaptive benefit factors in the basic SOS algorithm to improve its efficiency and reveal that the adaptive SOS algorithm is more reliable and efficient than thebasic SOS algorithm and other state-of-the-art algorithms.
References
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Journal ArticleDOI
A novel hybrid immune algorithm for global optimization in design and manufacturing
TL;DR: In this article, the authors presented a new hybrid optimization approach based on immune algorithm and hill climbing local search algorithm for solving design and manufacturing optimization problems, which is applied to a case study for milling operations.
Journal ArticleDOI
Structural Design Optimization of Vehicle Components Using Cuckoo Search Algorithm
İsmail Durgun,Ali Rıza Yıldız +1 more
TL;DR: This research is the first application of the Cuckoo Search Algorithm to the shape design optimization problems in the literature, and results show the ability of the CS to find better optimal structural design.
Journal ArticleDOI
Topology Synthesis of Multicomponent Structural Assemblies in Continuum Domains
Ali Rıza Yıldız,Kazuhiro Saitou +1 more
TL;DR: A multiobjective genetic algorithm is used to obtain Pareto optimal solutions that exhibit trade-offs among stiffness, weight, manufacturability, and assembleability, which enhances the ability to represent complex structural geometry observed in real-world products.
Journal ArticleDOI
An effective hybrid immune-hill climbing optimization approach for solving design and manufacturing optimization problems in industry
TL;DR: This research is the first application of immune algorithm to the optimization of machining parameters in turning and also shape design optimization problems in the literature, and demonstrates the superiority of the proposed hybrid over the other techniques in terms of solution quality and convergence rates.
Journal ArticleDOI
Optimal coordination of over-current relays using modified differential evolution algorithms
TL;DR: Five newly developed versions of differential evolution (DE) called modified DE versions are applied and the results are compared with the classical DE algorithm and with five more algorithms available in the literature; the numerical results show that the modified DE algorithms outperforms or perform at par with the other algorithms.
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