2016
DOI: 10.1016/j.enconman.2016.03.074
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Multiobjective differential evolution algorithm-based sizing of a standalone photovoltaic water pumping system

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Cited by 53 publications
(27 citation statements)
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“…To resolve multiobjective problems, two methods can be applied. The first one is to aggregate the objective functions into a single function by assigning them weighting coefficients, while the second is choosing from among the best Pareto configurations which allows us to reach the balance between reliability, cost, and water surplus of the system …”
Section: Introductionmentioning
confidence: 99%
“…To resolve multiobjective problems, two methods can be applied. The first one is to aggregate the objective functions into a single function by assigning them weighting coefficients, while the second is choosing from among the best Pareto configurations which allows us to reach the balance between reliability, cost, and water surplus of the system …”
Section: Introductionmentioning
confidence: 99%
“…Similarly, the authors of Stoppato et al proposed a sizing approach for PVPS using the particle swarm optimization algorithm according to economic aspects. In the meanwhile, Muhsen et al proposed a differential evolution–based multiobjective optimization algorithm to optimally size PVPS. In Muhsen et al, three objective functions, namely, LLP , life cycle cost ( LCC ), and excess water volume are aggregated by a single objective function on the basis of a predetermined weight.…”
Section: Introductionmentioning
confidence: 99%
“…In the meanwhile, Muhsen et al proposed a differential evolution–based multiobjective optimization algorithm to optimally size PVPS. In Muhsen et al, three objective functions, namely, LLP , life cycle cost ( LCC ), and excess water volume are aggregated by a single objective function on the basis of a predetermined weight. The main drawback of Muhsen et al is the complexity of initializing the weights that are used by the aggregation function.…”
Section: Introductionmentioning
confidence: 99%
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