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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Cuckoo Search algorithm based load frequency controller design for nonlinear interconnected power system
TL;DR: In this article, a new optimization technique called Cuckoo Search (CS) algorithm for optimum tuning of PI controllers for Load Frequency Control (LFC) is suggested, where a time domain based objective function is established to robustly tune the parameters of PI-based LFC which is solved by the CS algorithm to attain the most optimistic results.
Journal ArticleDOI
Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation
TL;DR: This study gives an extensive review of 23 MPPT techniques present in literature along with recent publications on various hardware design methodologies to address the advancement in this area for further research.
Journal ArticleDOI
An improved cuckoo search based extreme learning machine for medical data classification
TL;DR: Improved cuckoo search based extreme learning machine (ICSELM) is proposed to classify binary medical datasets and the experimental results demonstrate that the ICSELM model outperforms other models.
Journal ArticleDOI
A modified whale optimization algorithm for large-scale global optimization problems
TL;DR: A modified Whale Optimization Algorithm (MWOA) is proposed for solving LSGO problems, with superior performance in terms of solution accuracy, convergence speed, and stability compared with other state-of-the-art optimization algorithms.
Journal ArticleDOI
A hybrid cuckoo search and genetic algorithm for reliability-redundancy allocation problems
TL;DR: A recently developed meta-heuristic optimization algorithm cuckoo search is hybridized with well-known genetic algorithm (GA) called CS-GA is proposed to solve the reliability and redundancy allocation problem.
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.