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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Journal ArticleDOI
Multi-Objective Optimization for Sizing of Distributed Generation Using Cuckoo Search Algorithm
TL;DR: In this paper, a multi-objective optimization for sizing of distributed generation using cuckoo search algorithm is presented, where weighted sum technique is used as the fitness for the problem formulation.
Journal ArticleDOI
Application of nature-inspired algorithms with generalized Pitzer-Debye-Hückel (PDH) refinement for liquid liquid equilibria (LLE) correlation in cyclic di-ether systems
Proceedings ArticleDOI
A design method of fractional order PI λ D μ controller for higher order systems
TL;DR: In this article, a model reduction method and an explicit fractional order (FO) PIλDμ controller tuning rule are proposed for higher order systems, where the Cuckoo Search (CS) algorithm is used for approximating higher order system to obtain a desired FOPTD model and the analytical expression for robust tuning of the controller parameter is developed according to the maximum sensitivity index.
Dissertation
On PAPR Reduction of OFDM using Partial Transmit Sequence with Intelligent Optimization Algorithms
TL;DR: This thesis investigates the PAPR problem using Partial Transmit Sequence (PTS) scheme, where optimization is achieved with evolutionary bio-inspired metaheuristic stochastic algorithms and the phase factor optimization in PTS is used for P APR reduction.
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.