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Spatial and sectoral benefit distribution in water-energy system design
(Elsevier, 2020)
The design of water and energy systems has traditionally been done independently or considering simplified interdependencies between the two systems. This potentially misses valuable synergies between them and does not ...
Evolutionary multi-objective scheduling procedures in non-standardized production processes
(Universidad Nacional de Colombia Sede Medellín, 2012)
Scheduling problems can be seen as multi-objective optimization problems (MOPs), involving the simultaneous satisfaction of several goals related to the optimal design, coordination and management of tasks. The complexity ...
Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms
(Elsevier, 2014)
Lithium-battery energy storage systems (LiBESS) are increasingly being used on electric mobility and
stationary applications. Despite its increasing use and improvements of the technology there are still
challenges ...
Multi objective optimization of hybrid CSP plus PV system using genetic algorithm
(Elsevier, 2018)
Renewable energy has experienced a significant growth on its rate of deployment as a clean and competitive alternative for conventional power sources. The reduction on the installation costs for PV systems has converted ...
Evolutionary algorithm for content-based image search
(Corporación Universidad de la Costa, 2021)
Model of routing for raw milk collection using genetic algorithms
(Sistemas & Telemática, 2014-12)
The article examines the use of a metaheuristic method – genetic algorithms – for evaluating a model of routes for raw milk collection. A model was implemented based on real data, collected through fieldwork, following the ...
Software project planning through comparison of Bio-inspired algorithms
(Corporación Universidad de la CostaRetracted, 2021)
Sistema anticolisión para invidentes usando redes neuronales evolutivas
(Corporación Universidad de la Costa, 2019)
Search for optimal routes on roads applying metaheuristic algorithms
(Corporación Universidad de la Costa, 2021)