Search results for "NSGA-II"

showing 3 items of 3 documents

Hybrid evolutionary multi-objective optimization with enhanced convergence and diversity

2011

interactive evolutionary multi-objective optimizationNSGA-IIdifferential evolutionevoluutioalgoritmitPIEmultiple criteria decision makingmuuttujathybridialgoritmitmonitavoiteoptimointiEMO-algoritmitPareto-optimitNAUTILUS methodmutationhybrid frameworkachievement scalarizing function
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A Generalized Framework for Optimal Sizing of Distributed Energy Resources in Micro-Grids Using an Indicator-Based Swarm Approach

2014

In this paper, a generalized double-shell framework for the optimal design of systems managed optimally according to different criteria is developed. Optimal design is traditionally carried out by means of minimum capital and management cost formulations and does not typically consider optimized operation. In this paper, the optimized multiobjective management is explicitly considered into the design formulation. The quality of each design solution is indeed defined by the evaluation of operational costs and capital costs. Besides, the assessment of the operational costs term is deduced by means of the solution of a multiobjective optimization problem. Each design solution is evaluated usin…

Optimal designMathematical optimizationEngineeringNSGA-IIbusiness.industrymicrogridsPareto principleGlow-worm optimizationindicator based evolutionary algorithmMulti-objective optimizationComputer Science ApplicationsSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSettore ING-IND/31 - ElettrotecnicamicrogridPower system simulationControl and Systems EngineeringDistributed generationmicrogrids;indicator based evolutionary algorithm;Glow-worm optimization;planning;NSGA-IICapital costMicrogridplanningElectrical and Electronic EngineeringbusinessActivity-based costingInformation SystemsIEEE Transactions on Industrial Informatics
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Fuzzy green vehicle routing problem for designing a three echelons supply chain

2020

Abstract In this study, a three-echelon fuzzy green vehicle routing problem (3E-FGVRP) is considered for designing a regional agri-food supply chain on a time horizon. To account for the variability associated with the quantities requested by customers, it is assumed that the demands are fuzzy numbers simulated by a time-dependent algorithm. Moreover, the vehicle fleet and distribution centres are considered with a defined capacity. The credibility theory of fuzzy sets is used to implement a multi-objective fuzzy chance-constrained programming model, where the total costs and carbon emissions are minimised. The resolution of the 3E-FGVRP is conducted by using a non-dominated sorting genetic…

Mathematical optimizationRenewable Energy Sustainability and the EnvironmentComputer science020209 energyStrategy and ManagementSupply chain05 social sciencesFuzzy setGVRP simulation Fuzzy demand Credibility theory Multi objectives optimization NSGA-IITime horizon02 engineering and technologyMulti-objective optimizationFuzzy logicIndustrial and Manufacturing EngineeringCredibility theorySettore ING-IND/17 - Impianti Industriali Meccanici050501 criminology0202 electrical engineering electronic engineering information engineeringFuzzy numberELECTRE0505 lawGeneral Environmental Science
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