TL;DR
The paper introduces Viral Search, a novel genetic algorithm inspired by viral mechanisms, detailing its theoretical foundation and demonstrating its capabilities and limitations through numerical experiments.
Contribution
It formally derives the Viral Search algorithm and provides initial numerical tests to explore its potential and constraints.
Findings
Viral Search shows promising optimization performance.
The algorithm has identifiable limits based on initial tests.
Potential applications in complex problem solving.
Abstract
The article, after a brief introduction on genetic algorithms and their functioning, presents a kind of genetic algorithm called Viral Search. We present the key concepts, we formally derive the algorithm and we perform numerical tests designed to illustrate the potential and limits.
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Taxonomy
TopicsMetaheuristic Optimization Algorithms Research