This paper introduces a hybrid metaheuristic, the Variable Neighborhood Particle Swarm Optimization (VNPSO), consisting of a combination of the Variable Neighborhood Search (VNS) ...
For a number of years we have been working towards the goal of automatically creating auction mechanisms, using a range of techniques from evolutionary and multi-agent learning. Th...
Steve Phelps, Kai Cai, Peter McBurney, Jinzhong Ni...
This paper uses an optimization approach to address the problem of conceptual clustering. The aim of AGAPE, which is based on the tabu-search meta-heuristic using split, merge and ...
Real-time vehicle location information enables to facilitate more efficient decision-making in dynamic automotive shipment yard environment. This paper proposes a multiagent-based ...
Jindae Kim, Changsoo Ok, Soundar R. T. Kumara, Sha...
Abstract. We present a reduction semantics for the LYSA calculus extended with session information, for modelling cryptographic protocols, and a static analysis for it. If a protoc...
Han Gao, Chiara Bodei, Pierpaolo Degano, Hanne Rii...