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Author

Felipe Cisternas-Caneo

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Open access Aug 2026

Chaotic Regulation of Exploration and Exploitation in Bio-Inspired Swarm Intelligence for Combinatorial Optimization

A chaotic discretization framework is presented that replaces the classical behavior of the two-step binarization technique to regulate the balance between exploration and exploitation and shows that the highest-performing chaotic mapping is heavily influenced by the specific landscape morphology evaluated.

Felipe Cisternas-Caneo, Broderick Crawford, Jorge Mendoza et al. · 1 citation
Open access Aug 2026

Experimental Characterization of Emergent Behavior in Bio-Inspired Swarm Intelligence Algorithms

Bio-inspired swarm metaheuristic algorithms constitute a widely used tool for solving complex optimization problems. However, the experimental characterization of their emergent behavior remains a methodological challenge. This study proposes an experimental framework for characterizing emergent behavior through swarm...

Yoslandy Lazo, Broderick Crawford, Gino Astorga et al. · 0 citations
Open access Sep 2026

A Novel Binary Hunger Games Search Algorithm with Data-Driven Repair for the Set Covering Problem

The Binary Hunger Games Search metaheuristic is selected because the relative quality of each individual determines its hunger level, which in turn regulates the movement of the population and the influence of the best solution found.

Broderick Crawford, Hugo Caballero, Gino Astorga et al. · 0 citations

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