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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Proceedings ArticleDOI
A Framework for Optimization of Software Test Cases Generation using Cuckoo Search Algorithm
TL;DR: This article proposes a framework for the generation of an optimal set of test cases using a meta-heuristic based optimization algorithm called Cuckoo Search Algorithm as well as an overall algorithm for the same.
Journal ArticleDOI
FPGA-based implementation of cuckoo search
TL;DR: This study presents a problem specific parallel pipelined field programmable gate array-based accelerator to reduce execution time when solving complex optimisation problems and shows a promising average speedup over software and GPU implementations.
Journal ArticleDOI
Measurement of performance characteristics of WEDM while processing AZ31 Mg-alloy using Levy flight MOGWO for orthopedic application
Kapil Goyal,Neeraj Sharma,Rahul Gupta,Shivani Gupta,Deepika Rani,Deepak Kumar,Vishal S. Sharma +6 more
Book ChapterDOI
Advances in Multirate Filter Banks: A Research Survey
TL;DR: In this chapter, a research survey on the design of multirate filter banks is presented and novel aspects, which are not yet considered in the field of multIRate filter bank design, are presented.
Journal ArticleDOI
Cuckoo Search Algorithm with Hybrid Factor Using Dimensional Distance
TL;DR: A hybrid factor strategy for cuckoo search algorithm by combining constant factor and varied factor is proposed, which shows the improvement in effectiveness and efficiency of the hybridization.
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.