Extended fuzzy C-means and genetic algorithms to optimize power flow management in hybrid electric vehicles

DOI10.1023/B:FODM.0000003954.49357.b3zbMath1180.90024OpenAlexW3017261649WikidataQ59151531 ScholiaQ59151531MaRDI QIDQ1049767

Vincenzo Loia, Pierluigi Siano, Lucio Ippolito

Publication date: 13 January 2010

Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/b:fodm.0000003954.49357.b3

zbMATH Keywords

multi-objective optimizationgenetic algorithmshybrid vehiclesfuzzy c-means

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59)

Related Items

Agent-based architecture for designing hybrid control systems, Evidential evolving C-means clustering method based on artificial bee colony algorithm with variable strings and interactive evaluation mode