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
Solving a multiobjective job shop scheduling problem using Pareto Archived Cuckoo Search
TL;DR: This paper investigates a new approach for solving the multiobjective job shop scheduling problem, namely the Cuckoo Search (CS) approach, and shows that CS is a very effective and promising technique to solveJob shop scheduling problems.
Journal ArticleDOI
Assessing the suitability of hybridizing the Cuckoo optimization algorithm with ANN and ANFIS techniques to predict daily evaporation
TL;DR: In this article, two hybrid models of ANN-COA and AN-Fuzzy inference system (ANFIS) are developed and their performances are compared with single ANN and ANFIS.
Proceedings ArticleDOI
Basic concept of Cuckoo Search Algorithm for 2D images processing with some research results: An idea to apply Cuckoo Search Algorithm in 2D images key-points search
Marcin Wozniak,Dawid Połap +1 more
TL;DR: In this paper, the idea of applying cuckoo search algorithm to search for key-points in 2D images is formulated and a simplified version is presented and verified to show potential efficiency of applied computational intelligence.
Proceedings ArticleDOI
Eagle strategy with flower algorithm
TL;DR: The results on test benchmarks suggest that more effort should focus on explorative search for multimodal problems in metaheuristic algorithms.
Journal ArticleDOI
Hybrid method for designing digital FIR filters based on fractional derivative constraints
TL;DR: A hybrid approach based on Lagrange multiplier method and cuckoo search (CS) optimization technique is proposed for the design of linear phase finite impulse response (FIR) filters using fractional derivative constraints.
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.