Journal ArticleDOI
Multiobjective cuckoo search for design optimization
Xin-She Yang,Suash Deb +1 more
Reads0
Chats0
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
More filters
Book ChapterDOI
Design of a Metaphor-Less Multi-objective Rao Algorithms Using Non-dominated Sorting and Its Application in I-Beam Design Optimization
TL;DR: In this paper , the authors extended the single-objective metaphor-less set of Rao algorithms to multiobjective optimization using non-dominated sorting and crowding distance mechanisms, and proposed three variants, namely, Non-dominated Sorting Rao1 algorithm (abbreviated as NSRao1), Non-represented Sorting Rao2 algorithm (ABbrevated as NRSRao2), and Non-organized sorting Rao3 algorithm(abbrevabled as NSSRao3) are successfully applied to solve multi-objectively I-beam optimization problem under various strength and geometric constraints.
Proceedings ArticleDOI
Cuckoo Search Algorithm Based On Local Optimization In The PID Parameter Optimization
TL;DR: Improved cuckoo search algorithm based on local search optimization strategy is proposed, and extreme dynamic optimization algorithm local search operator is introduced into the latter part of the search cuckoos to make cuckOO search algorithm find that the global optimum value terms have better capabilities.
Proceedings ArticleDOI
Improved Cuckoo Algorithm for Adaptive Adjustment of Discovery Probability
TL;DR: An improved cuckoo algorithm (APCS) for detecting the adaptive adjustment of probability parameters is proposed and the adaptive dynamic adjustment of the found probability Peb of the bird egg is realized.
Book ChapterDOI
Operations management of large hydro–PV hybrid power plants: case studies in China
TL;DR: In this article , a suite of optimization models and solution methods that can effectively guide the operation of large hydro-photovoltaic (PV) hybrid system, including real-time operation, short-term operation, and longterm operation.
References
More filters
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.