Heuristic Search for Combinatorial Optimization Problems and Symmetry Applications
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 122
Special Issue Editors
Interests: artificial intelligence; combinatorial optimization problem solving; path planning
Interests: chip scheduling; broadcast resource scheduling; influence maximization problem; graph theory problem
Interests: combinatorial geometry; global optimization; symbolic computation and computer algebra; machine proof; algorithms in artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Symmetry and asymmetry are present in various combinatorial optimization problems. The combinatorial optimization is integral to solving complex decision-making problems that arise in diverse areas such as logistics, telecommunications, manufacturing, and artificial intelligence. This Special Issue focuses on heuristic search techniques, which are essential tools for tackling the computationally intensive nature of combinatorial optimization problems. Unlike exact algorithms, which guarantee an optimal solution but may be impractical for large-scale problems due to their high computational demands, heuristic approaches provide near-optimal solutions within a reasonable timeframe, making them invaluable in real-world applications. This collection of papers explores various heuristic methods, including but not limited to genetic algorithms, simulated annealing, tabu search, and ant colony optimization. These methods are evaluated on a range of classical and emerging combinatorial optimization problems. This Special Issue also highlights advancements in hybrid approaches that combine heuristics with exact methods, offering a balanced trade-off between solution quality and computational efficiency.
Dr. Shuli Hu
Dr. Yupeng Zhou
Prof. Dr. Zhenbing Zeng
Guest Editors
Manuscript Submission Information
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Keywords
- heristic search
- exact method
- local search
- complex optimization
- multi-objective optimization
- heuristic search algorithm applications
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