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An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences

Rivera, G.; Cruz-Reyes, L.; Fernández, E.; Gomez-Santillan, C.; Rangel-Valdez, N.; Coello, C.A.

(2023-02-01)

Many-objective optimization is an area of interest common to researchers, professionals, and practitioners because of its real-world implications. Preference incorporation into Multi-Objective Evolutionary Algorithms (MOEAs) ...

Comparative study of pheromone control heuristics in ACO algorithms for solving RCPSP problems

Gonzalez-Pardo, A.; Del Ser, J.

; Camacho, D. (2017-11)

Constraint Satisfaction Problems (CSP) belong to a kind of traditional NP-hard problems with a high impact on both research and industrial domains. The goal of these problems is to find a feasible assignment for a group ...

Quantitative Analysis and Performance Study of Ant Colony Optimization Models Applied to Multi-Mode Resource Constraint Project Scheduling Problem

Gonzalez-Pardo, A.; Del Ser, J.

; Camacho, D. (2017)

Constraint Satisfaction Problems (CSP) belongs to this kind of traditional NP-hard problems with a high impact in both, research and industrial domains. However, due to the complexity that CSP problems exhibit, researchers ...

Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria

Del Ser, J.

; Torre-Bastida, A.I.; Laña, I.; Bilbao, M.N.; Perfecto, C. (2017)

This work focuses on wide-scale freight transportation logistics motivated by the sharp increase of on-line shopping stores and the upsurge of Internet as the most frequently utilized selling channel during the last decade. ...