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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Journal ArticleDOI
Survey of Lévy Flight-Based Metaheuristics for Optimization
TL;DR: A comprehensive survey of the Lévy flight-based metaheuristic algorithms is conducted and the future insights and development direction in the area of LÉvy flight are discussed.
Proceedings ArticleDOI
Cuckoo search algorithm and its application for secondary protein structure prediction
TL;DR: This study investigates application of cuckoo search (CS) algorithm on the protein folding problem based on AB off-lattice model and demonstrates that CS outperforms other algorithms in a meaningful way.
Journal ArticleDOI
Dominant color component and adaptive whale optimization algorithm for multilevel thresholding of color images
TL;DR: In this article , the dominant color component (DCC) of an image is extracted for optimal multilevel thresholding and a novel segmentation score is introduced to justify the methodology.
Book ChapterDOI
Optimization of Control Systems by Cuckoo Search
TL;DR: Comparative results with GA prove the effectiveness of CS in the optimization of feedback control systems with a generalized PID controller.
Journal ArticleDOI
Parameter selection for CLAHE using multi-objective cuckoo search algorithm for image contrast enhancement
Umut Kuran,Emre Can Kuran +1 more
TL;DR: In this article, Multi-objective Cuckoo Search (MOCS) is employed to determine optimal parameters for the Contrast Limited Adaptive Histogram Equalization (CLAHE) method.
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.