Gonzalez-Pardo, AntonioDel Ser, JavierCamacho, DavidDel Ser, Javier2024-07-242024-07-242017Gonzalez-Pardo , A , Del Ser , J & Camacho , D 2017 , Quantitative analysis and performance study of ant colony optimization models applied to multi-mode resource constraint project scheduling problems . in J Del Ser (ed.) , Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) . Advances in Intelligent Systems and Computing , vol. 514 , Springer Verlag , pp. 145-154 , Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 , Bilbao , Spain , 22/02/17 . https://doi.org/10.1007/978-981-10-3728-3_15conference97898110372762194-5357https://hdl.handle.net/11556/2202Publisher Copyright: © Springer Nature Singapore Pte Ltd. 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 are forced to use heuristic algorithms for solving the problems in a reasonable time. One of the most famous heuristic algorithms is Ant Colony Optimization (ACO) algorithm. The possible utilization of ACO algorithms to solve CSP problems requires the design of a decision graph where the ACO is executed. Nevertheless, the classical approaches build a graph where the nodes represent the variable/value pairs and the edges connect those nodes whose variables are different. In order to solve this problem, a novel ACO model have been recently designed. The goal of this paper is to analyze the performance of this novelty algorithm when solving Multi-Mode Resource-Constraint Satisfaction Problems. Experimental results reveals that the new ACO model provides competitive results whereas the number of pheromones created in the system is drastically reduced.10enginfo:eu-repo/semantics/openAccessconference output10.1007/978-981-10-3728-3_15Ant colony optimizationOblivion ratePheromone controlResource-Constraint project scheduling problemsControl and Systems EngineeringGeneral Computer Sciencehttp://www.scopus.com/inward/record.url?scp=85012122766&partnerID=8YFLogxK