Journal ArticleDOI
Multiobjective cuckoo search for design optimization
Xin-She Yang,Suash Deb +1 more
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TLDR
A new cuckoo search for multiobjective optimization is formulated and applied to solve structural design problems such as beam design and disc brake design.About:
This article is published in Computers & Operations Research.The article was published on 2013-06-01. It has received 729 citations till now. The article focuses on the topics: Metaheuristic & Cuckoo search.read more
Citations
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A Novel MPPT Method Based on Cuckoo Search Algorithm and Golden Section Search Algorithm for Partially Shaded PV System
TL;DR: A new MPPT algorithm is proposed by combining the CS algorithm with golden section search (GSS) to take beneficial features from both the algorithms to improve the performance of the algorithm.
Journal ArticleDOI
Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems
TL;DR: The results of simulations and the Wilcoxon rank-sum test showed that the MOSFS is able to provide the most promising Pareto front for the problem considering various performance metrics at a 95% confidence level.
Journal ArticleDOI
Optimal location of STATCOM in multimachine power system for increasing loadability by Cuckoo Search algorithm
S.M. Abd-Elazim,Ehab S. Ali +1 more
TL;DR: A new metaheuristic method, the Cuckoo Search (CS) algorithm, based on the life of a bird family is proposed in this paper for optimal design of static synchronous compensator (STATCOM) in a multimachine environment.
Journal ArticleDOI
Swarm Intelligence: Past, Present and Future
TL;DR: A short but timely analysis about swarm intelligence algorithms and their links with self-organization is provided in this article, where different characteristics and properties are analyzed from both mathematical and qualitative perspectives.
Journal ArticleDOI
Bio-inspired computation: Recent development on the modifications of the cuckoo search algorithm
Haruna Chiroma,Tutut Herawan,Iztok Fister,Sameem Abdulkareem,Liyana Shuib,Mukhtar Fatihu Hamza,Younes Saadi,Adamu Abubakar +7 more
TL;DR: The recent advances of these modifications made to the original cuckoo search are reviewed by analyzing recent published papers tackling this subject and it is found that the population reduction and usage of biased random walk are the most frequently used modifications.
References
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Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Book
Multi-Objective Optimization Using Evolutionary Algorithms
Kalyanmoy Deb,Deb Kalyanmoy +1 more
TL;DR: This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
Journal ArticleDOI
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Eckart Zitzler,Lothar Thiele +1 more
TL;DR: The proof-of-principle results obtained on two artificial problems as well as a larger problem, the synthesis of a digital hardware-software multiprocessor system, suggest that SPEA can be very effective in sampling from along the entire Pareto-optimal front and distributing the generated solutions over the tradeoff surface.
Journal ArticleDOI
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Qingfu Zhang,Hui Li +1 more
TL;DR: Experimental results have demonstrated that MOEA/D with simple decomposition methods outperforms or performs similarly to MOGLS and NSGA-II on multiobjective 0-1 knapsack problems and continuous multiobjectives optimization problems.