TY  - CONF
AU  - Lalla-Ruiz, E.
AU  - Segredo, E.
AU  - Voß, S.
T1  - A cooperative learning approach for the quadratic Knapsack problem
LA  - eng
PY  - 2019
SP  - 31
EP  - 35
T2  - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SN  - 1611-3349
SN  - 9783030053475
VL  - 11353 LNCS
PB  - Springer Verlag
AB  - The Quadratic Knapsack Problem (QKP) is a well-known optimization problem aimed to maximize a quadratic objective function subject to linear capacity constraints. It has several applications in different fields such as telecommunications, graph theory, logistics, hydrology and data allocation, among others. In this paper, we propose the application of a novel population-based metaheuristic referred to as Multi-leader Migrating Birds Optimization (MMBO), which exploits the concepts of cooperation and communication along the search leading to a collective learning, to solve a wide range of well-known QKP instances.
DO  - 10.1007/978-3-030-05348-2_3
UR  - https://portalciencia.ull.es/documentos/5e39b4512999523aa926f923
DP  - Dialnet - Portal de la Investigación
ER  -