Paper
18 November 2024 Design and analysis of intelligent heuristic search algorithms in mathematical optimization problems
Jing Xia, Jun Shan
Author Affiliations +
Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 134030H (2024) https://doi.org/10.1117/12.3051766
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China
Abstract
Heuristic algorithms have shown excellent solutions to combinatorial optimization problems. This paper delves into an improved heuristic algorithm and its practical application in solving combinatorial optimization related problems. It elaborates on the operation process of the algorithm and verifies its performance through carefully designed simulation experiments. Further in-depth analysis was conducted on the advantages and disadvantages of this algorithm to comprehensively understand its performance in practical problems. This improved heuristic algorithm not only has a solid theoretical foundation, but also demonstrates remarkable results in practical applications.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jing Xia and Jun Shan "Design and analysis of intelligent heuristic search algorithms in mathematical optimization problems", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 134030H (18 November 2024); https://doi.org/10.1117/12.3051766
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KEYWORDS
Algorithms

Mathematical optimization

Evolutionary algorithms

Annealing

Design

Particle swarm optimization

Particles

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