metaheuristic optimization
Also known as: meta-heuristic optimization techniques, metaheuristic technique, meta-heuristic, metaheuristic, metaheuristics
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A comprehensive overview on demand side energy management ... link.springer.com Mar 13, 2023 10 facts
referenceTariq M, Khalid A, Ahmad I, Khan M, Zaheer B, and Javaid N presented research on load scheduling in home energy management systems using meta-heuristic techniques and critical peak pricing tariffs at the International Conference on P2P, Parallel, Grid, Cloud and Internet Computing in 2017.
referenceAbbasi RA, Javaid N, Khan S, Asif RM, and Ahmad W published 'Minimizing daily cost and maximizing user comfort using a new metaheuristic technique' in the proceedings of the International Conference on Advanced Information Networking and Applications (2019).
referenceAbideen ZU, Jamshaid F, Zahra A, Rehman AU, Razzaq S, and Javaid N published 'Meta-heuristic and nature inspired approaches for home energy management' in the proceedings of the international conference on network-based information systems in 2017.
claimStochastic optimization approaches are categorized into heuristic, meta-heuristic, and artificial intelligence methods.
referenceSamsuddin et al. (2018) reviewed single and population-based metaheuristic algorithms for solving the multi-depot vehicle routing problem, published in International Journal of Software Engineering and Computer Systems, 4(2):80–93.
referenceElmouatamid et al. (2020) evaluated the performance of a Home Energy Management System (HEMS) using three meta-heuristic optimization techniques: Harmony Search (HS), Bacterial Foraging Optimization (BFO), and EDE algorithms.
referenceAbideen ZU, Jamshaid F, Zahra A, Rehman AU, Razzaq S, and Javaid N published 'Meta-heuristic and nature inspired approaches for home energy management' in the proceedings of the International Conference on Network-Based Information Systems (2017).
referenceAbbasi RA, Javaid N, Khan S, Asif RM, and Ahmad W published 'Minimizing daily cost and maximizing user comfort using a new metaheuristic technique' in the proceedings of the workshops of the international conference on advanced information networking and applications in 2019.
claimElmouatamid et al. (2020) evaluated the performance of a Home Energy Management System (HEMS) using three meta-heuristic optimization techniques: Harmony Search (HS), Bacterial Foraging Optimization (BFO), and EDE algorithms.
referenceTariq M, Khalid A, Ahmad I, Khan M, Zaheer B, and Javaid N researched load scheduling in home energy management systems using meta-heuristic techniques and critical peak pricing tariffs, presented at the 2017 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.
Comprehensive framework for smart residential demand side ... nature.com Mar 22, 2025 5 facts
procedureThe Whale Optimization Algorithm (WOA) search process is structured into three major steps: encircling prey, the bubble-net attacking method (exploitation phase), and a search phase (implied by the context of metaheuristic optimization).
referenceMohseni, Khalid, and Brent (2023) conducted a resilience-oriented optimal sizing study for off-grid microgrids that incorporates electric vehicle charging demand response and compares state-of-the-art metaheuristics.
referenceMohseni, Khalid, and Brent (2023) conducted a comparative efficiency analysis of state-of-the-art metaheuristics for the stochastic, resilience-oriented optimal sizing of off-grid microgrids that incorporate electric vehicle charging demand response.
claimRecent research suggests that prominent methods for demand-side management include linear programming, nonlinear programming, dynamic programming, stochastic programming, robust optimization, fuzzy logic, metaheuristic or evolutionary optimization, artificial neural networks, and game theory.
claimProminent methods suggested in recent research for demand-side management include linear programming, nonlinear programming, dynamic programming, stochastic programming, robust optimization, fuzzy logic, metaheuristic or evolutionary optimization, artificial neural networks, and game theory.
Demand side management using optimization strategies for efficient ... journals.plos.org Mar 21, 2024 2 facts
referenceJahangiri M., Hadianfard M. A., Najafgholipour M. A., Jahangiri M., and Gerami M. R. developed the 'Interactive autodidactic school' algorithm, a metaheuristic for mathematical and structural design optimization, in a 2020 paper in Computers & Structures.
claimThe GreenTech Nexus (GN) system optimization engine uses meta-heuristic optimization algorithms in the cloud to tailor energy consumption strategies based on specific objectives and constraints.