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Journal ArticleDOI

Multiobjective cuckoo search for design optimization

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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.
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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.

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Cuckoo Search-Based Least Squares Support Vector Machine Models for Optimum Tuning of Tuned Mass Dampers

TL;DR: The present paper implements the least squares support vector machine (LS-SVM) to build up models which predict the optimum TMD parameters, and implements a novel metaheuristic algorithm, called the cuckoo search, to obtain the tuning frequency and damping ratio of the TMD system.
Journal ArticleDOI

Complex-valued encoding metaheuristic optimization algorithm: A comprehensive survey

TL;DR: This paper provides researchers with a comprehensive and extensive overview of complex-valued encoding metaheuristic algorithms and applications for function optimization, engineering optimization design, and combination optimization.
Journal ArticleDOI

Design of digital IIR filter: A research survey

TL;DR: In this article, the authors presented an overview on advancement made in designing of a digital infinite impulse response (IIR) filter, which is found to be challenging due to presence of poles in its transfer function.
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An efficient modified harmony search algorithm with intersect mutation operator and cellular local search for continuous function optimization problems

TL;DR: The experimental results show that the proposed modified harmony search (MHS) algorithm not only performs better than those state-of-the-art HS variants but is also competitive with other famous meta-heuristic algorithms in terms of the solution accuracy and efficiency.
Journal ArticleDOI

PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm

TL;DR: A combinatorial cuckoo search algorithm is reported for solving drill path optimization problem and indicates that the proposed algorithm is capable of efficiently finding the optimal path for PCB holes drilling process.
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

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

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

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.