A hybrid cross-entropy guided genetic algorithm for scheduling multi-energy systems

• المؤلفون الرئيسيون: Dan, Mainak, Srinivasan, Seshadhri, Sundaram, Suresh
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Cross Entropy Method; Hybrid Real-coded Genetic Algorithm
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/142997
• المؤسسة: Nanyang Technological University

This investigation develops a novel hybrid fast converging Cross-Entropy Genetic Algorithm technique for scheduling of multi-energy system (MES). The scheduling problem is a mixed integer non-linear programming problem with non-linear and non-convex constraints, due to switching and non-linear dynam...