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
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A survey of the development of biomimetic intelligence and robotics
Jiankun Wang,Weinan Chen,Xiao Xiao,Yangxin Xu,Chenming Li,Xiao Jia,Max Q.-H. Meng,Max Q.-H. Meng +7 more
TL;DR: This survey introduces the development of biomimetic intelligence and biomicetic robotics, and surveys different biomimetically robots, biomimetics sensors and sensing technologies, and popular biomimic intelligence algorithms.
Journal ArticleDOI
An efficient gbest-guided Cuckoo Search algorithm for higher order two channel filter bank design
TL;DR: The proposed GCS algorithm for the design of higher order Quadrature Mirror Filter (QMF) bank exhibits lowest mean and variance in different assessment parameters of filter bank and it does not require tuning of algorithmic parameters whereas in standard CSA replacement factor need to be adjusted.
Journal ArticleDOI
Fuzzy logic controller parameter optimization using metaheuristic Cuckoo search algorithm for a magnetic levitation system
Gabriel Garcia-Gutierrez,Diego Arcos-Aviles,Enrique V. Carrera,Francesc Guinjoan,Emilia Motoasca,Paul Ayala,Alexander Ibarra +6 more
TL;DR: An optimization procedure based on the CS algorithm is presented to optimize all the parameters of the FLC, including the RB, and it is applied to a nonlinear magnetic levitation system and Comparative simulation results are provided to validate the features improvement of such an approach which can be extended to other FLC based control systems.
Journal ArticleDOI
Wavelet and cuckoo search-support vector machine conjugation for drought forecasting using standardized precipitation index (case study: Urmia Lake, Iran)
TL;DR: The obtained results indicate that the RBF-kernel function of the SVM algorithm has high efficiency in the SPI modeling, resulting in a determination coefficient (DC) of 0.865 in verification step, revealing that the proposed hybrid WSVM model outperforms the single SVM model in forecasting SPI time series.
Journal ArticleDOI
Adjustable window based design of multiplier-less cosine modulated filter bank using swarm optimization algorithms
TL;DR: An adjustable window based approach is presented for the design of multiplier-less near perfect reconstruction cosine modulated filter bank (CMFB) for specified stopband attenuation and channel overlapping and illustrates the improved performance of proposed technique as compared to other published algorithms.
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.