Journal ArticleDOI
Soft computing approach for reliability optimization: State-of-the-art survey
Mitsuo Gen,YoungSu Yun +1 more
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TLDR
A Genetic Algorithm (GA), as a soft computing approach, is a powerful tool for solving various reliability optimization problems, such as reliability optimization of redundant system, reliability optimized with alternative design, reliability optimization with time-dependent reliability, reliability Optimization with interval coefficients, bicriteria reliability optimization, and reliability optimize with fuzzy goals.About:
This article is published in Reliability Engineering & System Safety.The article was published on 2006-09-01. It has received 203 citations till now. The article focuses on the topics: Probabilistic-based design optimization & Engineering optimization.read more
Citations
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Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm
TL;DR: It is demonstrated in this paper that GA is an efficient method for solving a redundancy allocation problem for the series-parallel system when the redundancy strategy can be chosen for individual subsystems.
Journal ArticleDOI
Improved cuckoo search for reliability optimization problems
TL;DR: In this paper, an improved cuckoo search algorithm is presented, enhancing the accuracy and convergence rate of the cuckoff search algorithm, and the performance of the proposed algorithm is tested on some complex engineering optimization problems.
Journal ArticleDOI
An efficient particle swarm approach for mixed-integer programming in reliability–redundancy optimization applications
TL;DR: An efficient PSO algorithm based on Gaussian distribution and chaotic sequence (PSO-GC) to solve the reliability–redundancy optimization problems and the solutions obtained are better than the previously best-known solutions available in the recent literature.
Journal ArticleDOI
A novel global harmony search algorithm for reliability problems
TL;DR: Inspired by the swarm intelligence of particle swarm, a novel global harmony search algorithm (NGHS) is proposed to solve reliability problems and has demonstrated stronger capacity of space exploration than most other approaches on solving reliability problems.
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A new multi-objective particle swarm optimization method for solving reliability redundancy allocation problems
TL;DR: Several properties of the DSAMOPSO method, such as fast-ranking, evolutionary-based operators, elitism, crowding distance, dynamic parameter tuning, and tournament global best selection, improved the best known solutions of the benchmark cases of the MORAP.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Journal ArticleDOI
A simplex method for function minimization
John A. Nelder,R. Mead +1 more
TL;DR: A method is described for the minimization of a function of n variables, which depends on the comparison of function values at the (n 41) vertices of a general simplex, followed by the replacement of the vertex with the highest value by another point.
Book
Genetic Algorithms + Data Structures = Evolution Programs
TL;DR: GAs and Evolution Programs for Various Discrete Problems, a Hierarchy of Evolution Programs and Heuristics, and Conclusions.
Book
Data networks
TL;DR: Undergraduate and graduate classes in computer networks and wireless communications; undergraduate classes in discrete mathematics, data structures, operating systems and programming languages.