246 citations · 1.1k across the 18 of their papers we have counts for
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cs.NE2026
Hybrid multi-objective evolutionary algorithms for service placement in the computing continuum: a comparative study with genetic traceability
Sergi Vivo, Carlos Guerrero, Isaac Lera
This paper addresses multi-objective service placement in computing continuum environments through a collaborative hybrid island-model MOEA. The key innovation is not the design of…
cs.NE2025★ 122 cited
Evaluation and Efficiency Comparison of Evolutionary Algorithms for Service Placement Optimization in Fog Architectures
Carlos Guerrero, Isaac Lera, Carlos Juiz
This study compares three evolutionary algorithms for the problem of fog service placement: weighted sum genetic algorithm (WSGA), non-dominated sorting genetic algorithm II (NSGA-…
cs.NE2024★ 7 cited
Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization
Carlos Guerrero, Isaac Lera, Carlos Juiz
The increasing complexity of fog computing environments calls for efficient resource optimization techniques. In this paper, we propose and evaluate three distributed designs of a…