This repository demonstrates how the Presentation Scheduling problem, which is analogous to the famous University Course Timetabling Problem (UCTP), can be solved using the Hybrid Genetic ...
Self python implementation of simulated annealing algorithms, including: Simulated Annealing (SA), Fast Simulated Annealing (FSA), Sequential Monte Carlo Simulated Annealing (SMC-SA),Curious Simulated ...
Abstract: In the operation of virtual power plants, the scheduling of communication resources is often limited by transmission bandwidth and latency issues, which directly affect the real-time and ...
Abstract: This paper presents an improved simulated annealing algorithm based on heat transfer model. By introducing the heat transfer model, a new temperature updating formula is derived. The ...
https://doi.org/10.2307/2583858 • https://www.jstor.org/stable/2583858 Copy URL The objective of this study is to use the simulated annealing method to solve ...
Mathematics of Operations Research, Vol. 25, No. 3 (Aug., 2000), pp. 476-484 (9 pages) Simulated Annealing has proven to be a very successful heuristic for various combinatorial optimization problems.
The goal of a combinatorial optimization problem is to find the best ordering of a set of discrete items. A classic combinatorial optimization challenge is the Traveling Salesman Problem (TSP). For ...
If you want to simulate a tic-tac-toe game, that’s easy. You can evaluate every possible move in a reasonable amount of time. Simulating antennas, however, is much harder. [Rosrislav] has been ...
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