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
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Book
Nature-Inspired Optimization Algorithms
TL;DR: This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences, and researchers and engineers as well as experienced experts will also find it a handy reference.
Journal ArticleDOI
Marine Predators Algorithm: A nature-inspired metaheuristic
TL;DR: The statistical post hoc analysis revealed that MPA can be nominated as a high-performance optimizer and is a significantly superior algorithm than GA, PSO, GSA, CS, SSA and CMA-ES while its performance is statistically similar to SHADE and LSHADE-cnEpSin.
Journal ArticleDOI
Cuckoo Search: Recent Advances and Applications
Xin-She Yang,Suash Deb +1 more
TL;DR: The fundamental ideas of cuckoo search are reviewed and the latest developments as well as its applications are reviewed, and insight into its search mechanisms is gained.
Journal ArticleDOI
Cuckoo search: recent advances and applications
Xin-She Yang,Suash Deb +1 more
TL;DR: Cuckoo search (CS) is a relatively new algorithm, developed by Yang and Deb in 2009, and the same has been found to be efficient in solving global optimization problems.
Journal ArticleDOI
A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability
Jubaer Ahmed,Zainal Salam +1 more
TL;DR: In this article, the authors proposed a maximum power point tracking (MPPT) method using Cuckoo Search (CS) method for large and medium-sized PV systems. And the results show that CS is capable of tracking MPP within 100-250 ms under various types of environmental change.
References
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Proceedings ArticleDOI
An updated survey of evolutionary multiobjective optimization techniques: state of the art and future trends
TL;DR: This paper reviews some of the most popular evolutionary multiobjective optimization techniques currently reported in the literature, indicating some of their main applications, their advantages, disadvantages, and degree of applicability.
Journal Article
Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer
TL;DR: Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer.
Proceedings ArticleDOI
Multiobjective optimization using a Pareto differential evolution approach
TL;DR: The differential evolution algorithm is extended to multiobjective optimization problems by using a Pareto-based approach and performs well when applied to several test optimization problems from the literature.
Journal ArticleDOI
A discrete firefly meta-heuristic with local search for makespan minimization in permutation flow shop scheduling problems
TL;DR: In this paper, a new discrete firefly meta-heuristic was proposed to minimize the makespan for the permutation flow shop scheduling problem, and the results of implementation of the proposed method are compared with other existing ant colony optimization technique.
BookDOI
Multi-objective optimization : techniques and applications in chemical engineering
TL;DR: This paper presents a meta-anatomical architecture for multi-Objective Optimization of multi-Product Microbial Cell Factory for Multiple Objectives and some of the principles used in this architecture were previously described in the book “Optimal Design of Chemical Processes for Multiple Economic and Environmental Objectives.”