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 ranking-based adaptive cuckoo search algorithm for unconstrained optimization
Jiamin Wei,Haoyu Niu +1 more
TL;DR: In this paper , a ranking-based adaptive cuckoo search algorithm, called RACS, is proposed, which is inspired by the natural phenomenon that good species or individuals always contain good information and thus have better odds of guiding others.
Journal ArticleDOI
Research developments in adaptive intelligent vibration control of smart civil structures
TL;DR: An inclusive state-of-the-art review of adaptive intelligent control (AIC) algorithms for vibration control of smart civil structures and demonstrates the computing advantages of AIC over conventional controllers that are important in creating the next generation of smartCivil structures.
Proceedings ArticleDOI
Research on water surface gateway deployment in underwater acoustic sensor networks
TL;DR: An improved cuckoo optimization algorithm is designed to achieve a fair and efficient surface gateway layout optimization and the influence of different gateway quantity on network capacity and network delay is simulated, which provides scientific decision support for the overall optimization of underwater sensor networks.
Journal ArticleDOI
A new implementation of the MPPT based raspberry Pi embedded board for partially shaded photovoltaic system
TL;DR: In this article , the authors proposed a new maximum power point tracker (MPPT) implemented by Raspberry Pi 4-based embedded board programmed via two metaheuristic approaches of cuckoo search (CS) and particle swarm optimizer (PSO).
Journal ArticleDOI
Coupling of inverse method and cuckoo search algorithm for multiobjective optimization design of an axial flow pump
TL;DR: This work describes the application of a multiobjective cuckoo search method for turbomachinery design optimization of an axial pump and a comparative evaluation of results obtained with those of a reference machine and genetic algorithm allowed it to validate the present work.
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.