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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Fractional order PID control design for semi-active control of smart base-isolated structures: A multi-objective cuckoo search approach.
TL;DR: The evaluation of robustness for a stiffness uncertainty of ±10% indicates that the proposed FOPID controller gives a robust performance against such modeling errors.
Journal ArticleDOI
Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm
TL;DR: This investigation proposes a simple method to help those out-bounded cuckoo birds return to their previous (the most recent iteration) optimal location, by hybridizing the VMD method, the SVR model with the self-recurrent mechanism, the chaotic mapping function, the out-bound-back mechanism, and the cuckoos search algorithm.
Journal ArticleDOI
Wind driven optimization algorithm based global MPPT for PV system under non-uniform solar irradiance
TL;DR: The proposed MPPT based on WDO algorithm is considered to be the most effective and superior optimization tool compared to the corresponding ones.
Journal ArticleDOI
Classification and Evaluation Review of Maximum Power Point Tracking Methods
TL;DR: This study gives a concise classification and evaluation review of all the applied Maximum Power Point Tracking methods and provides an accessible reference to undertake mass research works in MPPT in the near future.
Journal ArticleDOI
Particle swarm optimization with a new update mechanism
TL;DR: Experimental results and comparisons show that PSOd outperforms PSO and its variants on solving the numerical benchmark functions in terms of solution quality and robustness.
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.