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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Physical model test validation of dynamic similarity truncation method for an internal turret mooring system
TL;DR: In this article , an effective dynamic truncation method is proposed based on slender rod theory and multi-objective cuckoo search optimization algorithm, where line tensions in time domain are transferred into frequency domain to implement the dynamic similarity.
Journal ArticleDOI
Analysis on the spatial accessibility of parks and green spaces and optimal site selection—Taking Weifang prefecture-level city as an example
Wenqi Yan,Shijie Wang +1 more
Proceedings ArticleDOI
Analytical Study of Intelligent controller with different objective function to control a complex non-linear system
TL;DR: In this paper , an analysis of the Fuzzy PID Controller optimized with the two objective functions Integral of Time weighted Absolute Error (ITAE) and ITAE is presented to examine the efficacy of the Intelligent controller as well as the role of the objective functions.
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Optimization strategy of wireless charger node deployment based on improved cuckoo search algorithm
TL;DR: In this paper, an improved cuckoo search (ICS) algorithm is proposed to find the ones that maximize the received power of the sensor node and minimize the number of charger nodes optimal solution.
Journal ArticleDOI
On the stochastic dynamics of a nonlinear vibration energy harvester driven by Lévy flight excitations
TL;DR: In this article, the nonequilibrium dynamics of a generic piezoelectric harvester driven by Brownian as well as (non-Brownian) Levy flight excitation, both in the linear and the Duffing regimes are studied.
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.