Leveraging classic and bio-inspired multi-objective metaheuristics for energy communities’ optimal sizing
Authors:
Open Access
- 15 May 2026
- journal article
- Published by Elsevier in Applied Soft Computing
- Vol. 200
Abstract
No abstract availableThis publication has 30 references indexed in Scilit:
- Optimal operation of distribution networks and multiple community energy prosumers based on mixed game theoryEnergy, 2023
- A fast convergence EO-based multi-objective optimization algorithm using archive evolution path and its application to engineering design problemsThe Journal of Supercomputing, 2023
- An overview of optimization techniques used for sizing of hybrid renewable energy systemsRenewable Energy Focus, 2021
- Optimal sizing of off-line microgrid via hybrid multi-objective simulated annealing particle swarm optimizerComputers and Electrical Engineering, 2021
- Energy optimization in a smart community grid system using genetic algorithmInternational Journal of Communication Systems, 2019
- Impact of different time series aggregation methods on optimal energy system designRenewable Energy, 2018
- Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problemsAdvances in Engineering Software, 2017
- Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimizationExpert Systems with Applications, 2016
- Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problemsNeural Computing and Applications, 2015
- Evolutionary multi-objective optimization: some current research trends and topics that remain to be exploredFrontiers of Computer Science in China, 2009