Immune algorithms-based approach for redundant reliability problems with multiple component choices

Chen, Ta-Cheng; You, Peng-Sheng

doi:10.1016/j.compind.2004.06.002

Cited by 122 publications

(35 citation statements)

References 22 publications

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“…Step 6 Crossover/Mutation Genetic operations, such as crossover and mutation, can enhance the immune algorithm in producing solutions and perturbing selected solutions to avoid local optima (Chen and You 2005). The crossover operation generates new antibodies by mixing genetic material in the chromosomes of the original antibodies in the mating pool.…”

Section: Algorithmic Flow Of Memoiamentioning

confidence: 99%

A macro-evolutionary multi-objective immune algorithm with application to optimal allocation of water resources in Dongjiang River basins, South China

Liu

Chen

Shao

et al. 2011

Stoch Environ Res Risk Assess

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Macro-evolution is a new kind of high-level species evolution inspired by the dynamics of species extinction and diversification at large time scales. Immune algorithms are a set of computational systems inspired by the defense process of the biological immune system. By taking advantage of the macro-evolutionary algorithm and immune learning of artificial immune systems, this article proposes a macro-evolutionary multi-objective immune algorithm (MEMOIA) for optimizing multi-objective allocation of water resources in river basins. A benchmark test problem, namely the Viennet problem, is utilized to evaluate the performance of the proposed new algorithm. The study indicates that the proposed algorithm yields a much better spread of solutions and converges closer to the true Pareto frontier compared with The Non-dominated Sorting Genetic Algorithm and Improving the Strength Pareto Evolutionary Algorithm. MEMOIA is applied to a water allocation problem in the Dongjiang River basin in southern China, with three objectives named economic interests (OF 1 ), water shortages (OF 2 ) and the amount of organic pollutants in water (OF 3 ). The results demonstrate the capabilities of MEMOIA as well as its suitability as a viable alternative for enhanced water allocation and management in a river basin.

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Section: Algorithmic Flow Of Memoiamentioning

confidence: 99%

A macro-evolutionary multi-objective immune algorithm with application to optimal allocation of water resources in Dongjiang River basins, South China

Liu

Chen

Shao

et al. 2011

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

show abstract

“…Ant [7] and bee [18] colony optimization techniques can also be used to solve this problem. Artificial immune system algorithms, [9] improved surrogate constraint methods [10] and Tabu search [16] have been successfully implemented as well. [21] have taken into account, the variability data of reliability of components, gathered through field tests.…”

Section: = =mentioning

confidence: 99%

Design and analysis of the redundancy allocation problem using a greedy technique

Nanda¹,

Sharma²,

Kundnani³

et al. 2016

IOSR

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“…Thus, for a highly reliability system, the main problem is to balance reliability enhancement and resource consumption. A number of approaches in the literature focus on the application of metaheuristic methods for solving system reliability optimization problems [9,7,27,15,33,34,10,13]. However, real-life reliability optimization problems are complex: management goals and the constraints are often imprecise; (i) problem parameters as understood by the decision maker may (ii) be vague; and, historical data is often imprecise and vague.…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria reliability optimization for a complex system with a bridge structure in a fuzzy environment: A fuzzy multi-criteria genetic algorithm approach

Mutingi¹,

Mbohwa²,

Kommula³

2016

EiN

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Immune algorithms-based approach for redundant reliability problems with multiple component choices

Cited by 122 publications

References 22 publications

A macro-evolutionary multi-objective immune algorithm with application to optimal allocation of water resources in Dongjiang River basins, South China

A macro-evolutionary multi-objective immune algorithm with application to optimal allocation of water resources in Dongjiang River basins, South China

Design and analysis of the redundancy allocation problem using a greedy technique

Multi-criteria reliability optimization for a complex system with a bridge structure in a fuzzy environment: A fuzzy multi-criteria genetic algorithm approach

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