Tackling Blind Spot Challenges in Metaheuristics Algorithms Through Exploration and Exploitation

Tackling Blind Spot Challenges in Metaheuristics Algorithms Through Exploration and Exploitation

This paper defines blind spots in continuous optimization problems as global optima that are inherently difficult to locate due to deceptive, misleading, or barren regions in the fitness landscape. Such regions can mislead the search process, trap metaheuristic algorithms (MAs) in local optima, or h...

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Bibliographic Details
Main Authors: Matej Črepinšek, Miha Ravber, Luka Mernik, Marjan Mernik
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
optimization
metaheuristics algorithm
algorithmic performance
duplicate solutions
non-revisited solutions
LTMA
Online Access:https://www.mdpi.com/2227-7390/13/10/1580
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