Proceedings ArticleDOI
A Hybrid Genetic Algorithm for Structural Optimization with Discrete Variables
Pengfei Guo,Xuezhi Wang,Yingshi Han +2 more
- pp 223-226
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TLDR
A hybrid genetic algorithm for structural optimization with discrete variables, combined the advances of both genetic algorithm and quasi-full stress design method, is presented in this paper.Abstract:
On the basis of full stress design, a quasi-full stress design is presented for structural optimum design with discrete variables. The structural optimum design with discrete variables under stress and section size constraints can be directly calculated by this method. Through defining a quasi-full stress design operator in the genetic algorithm, a hybrid genetic algorithm for structural optimization with discrete variables, combined the advances of both genetic algorithm and quasi-full stress design method, is presented in this paper. The numerical results show that the method is superior to genetic algorithm and quasi-full stress design method.read more
Citations
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Proceedings ArticleDOI
The enhanced genetic algorithms for the optimization design
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Proceedings ArticleDOI
Multi-objective adaptive intelligent water drops algorithm for optimization & vehicle guidance in road graph network
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Book ChapterDOI
New Bio-inspired Meta-Heuristics - Green Herons Optimization Algorithm - for Optimization of Travelling Salesman Problem and Road Network
Chiranjib Sur,Anupam Shukla +1 more
TL;DR: The result of the simulation clearly stated the algorithm's capability for combination generation through randomization and converging global optimization and thus has contributed another important member of the bio-inspired computation family.
Journal ArticleDOI
Rubber bushing optimization by using a novel chaotic krill herd optimization algorithm
Halil Bilal,Ferruh Öztürk +1 more
TL;DR: A novel chaotic krill herd (CKH) optimization algorithm is proposed that has better performance to reach the global optimum of the objective function which has many local minimums and is applied to rubber bushing stiffness optimization.
Proceedings ArticleDOI
Dealing QAP & KSP with Green Heron optimization algorithm — A new bio-inspired meta-heuristic
Chiranjib Sur,Anupam Shukla +1 more
TL;DR: This work has mainly concentrated on the description, mathematical representations, presentations, features, limitations and performance analysis of the algorithm on the scattered dimensional datasets of the Quadratic Assignment Problem (QAP) & 0/1 Knapsack Problem (KSP) to clearly demarcate its performance with change in dimension that is scalability.
References
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Journal ArticleDOI
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