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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An adaptive bi-flight cuckoo search with variable nests for continuous dynamic optimization problems
TL;DR: An adaptive bi-flight cuckoo search algorithm for continuous dynamic optimization problems that uses two types of flight that are chosen adaptively by a learning automaton to control the global and local search ability of the method during the run.
Journal ArticleDOI
Cuckoo search with varied scaling factor
TL;DR: This study proposes a varied scaling factor (VSF) strategy that samples a value from the range [0,1] uniformly at random for each iteration of CS, and integrates the VSF strategy into several advanced CS variants.
Journal ArticleDOI
A novel multi-objective optimization algorithm based on artificial algae for multi-objective engineering design problems
TL;DR: The results show that MO-AAA efficiently generates the Pareto front and is easy to implement, promising and competitive compared to other state-of-the-art algorithms considered in this work.
Journal ArticleDOI
A new algorithm based on gray wolf optimizer and shuffled frog leaping algorithm to solve the multi-objective optimization problems
TL;DR: An algorithm based on gray wolf optimizer with memeplex structure of the shuffled frog leaping algorithm (SFLA), which is named as multi-objective shuffled GWO (MOSG), is proposed to solve the multi- objective optimization problems.
Journal ArticleDOI
Structural damage identification based on cuckoo search algorithm
H. J. Xu,Jie Liu,Zhengqi Lu +2 more
TL;DR: A method for structural damage identification based on cuckoo search algorithm is presented in this paper, where the nonlinear objective function for the damage identification problem is established by utilizing modal assurance criteria and structural natural frequencies.
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.