Topologically sensitive metaheuristics
Aleksandar Kartelj, Vladimir Filipovi\'c, Sini\v{s}a Vre\'cica, Rade, \v{Z}ivaljevi\'c
TL;DR
This paper introduces topologically sensitive metaheuristics, including TVNS and TEM, which incorporate topological considerations into metaheuristic algorithms to potentially improve their performance.
Contribution
It presents the conceptual design of two novel topologically sensitive metaheuristics, expanding the framework of metaheuristic algorithms with topological features.
Findings
Conceptual framework for topologically sensitive metaheuristics
Design of TVNS and TEM algorithms
Potential for improved optimization performance
Abstract
This paper proposes topologically sensitive metaheuristics, and describes conceptual design of topologically sensitive Variable Neighborhood Search method (TVNS) and topologically sensitive Electromagnetism Metaheuristic (TEM).
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Taxonomy
TopicsTopological and Geometric Data Analysis · Constraint Satisfaction and Optimization · Computational Geometry and Mesh Generation