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
Journal ArticleDOI
Parameter Optimization via Cuckoo Optimization Algorithm of Fuzzy Controller for Liquid Level Control
Saeed Balochian,Eshagh Ebrahimi +1 more
TL;DR: The results show clearly that the optimized FLC using COA has better performance compared to manually adjustments of the system parameters for different datasets.
Journal ArticleDOI
Optimal power flow solution with stochastic wind power using the Lévy coyote optimization algorithm
TL;DR: An improved method based on the Levy Coyote optimization algorithm (LCOA) for solving the OPF problem with stochastic wind power is presented, where Levy Flights were added to the Coyote optimize algorithm to avoid local optima and to improve the ability to focus on optimal solutions.
Journal ArticleDOI
Cuckoo search algorithm for optimization problems - a literature review
TL;DR: An overview of CS which is inspired by the life of a bird family, called Cuckoo as well as overview ofCS applications in various categories for solving optimization problems are described.
Journal ArticleDOI
A comprehensive assessment of maximum power point tracking techniques under uniform and non-uniform irradiance and its impact on photovoltaic systems: A review
TL;DR: In this article, a comprehensive review of various MPPT techniques under uniform and non-uniform irradiances and comparatively evaluates them for their merits and demerits is presented, which is helpful in selecting appropriate MPPT algorithms and adjudging its impact on the given solar PV applications.
Journal ArticleDOI
Newly Emerging Nature-Inspired Optimization - Algorithm Review, Unified Framework, Evaluation, and Behavioural Parameter Optimization
TL;DR: This paper collects newly emerging nature-inspired optimization algorithms proposed after 2008, present them in a unified way, implement them, and evaluate them on benchmark functions, and optimize the behavioural parameters for these algorithms.
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.