Extremal Optimization: Heuristics via Co-Evolutionary Avalanches
Stefan Boettcher (Emory University)
TL;DR
This paper introduces Extremal Optimization, a heuristic method inspired by co-evolutionary avalanches, providing a novel approach for solving complex optimization problems.
Contribution
It presents the Extremal Optimization heuristic, inspired by natural co-evolutionary processes, as a new method for combinatorial optimization.
Findings
Demonstrates effectiveness on benchmark problems
Shows competitive performance with existing heuristics
Provides insights into co-evolutionary dynamics in optimization
Abstract
An introduction to Extremal Optimization written for the Computer Simulation Column in ``Computing in Science and Engineering'' (CISE).
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Taxonomy
TopicsMetaheuristic Optimization Algorithms Research · Advanced Multi-Objective Optimization Algorithms