In this paper we introduce an Ant Colony Optimisation (ACO) algorithm to find solutions for the well-known Knight’s Tour problem. The algorithm utilizes the implicit parallelism ...
Unpredictability in the running time of complete search procedures can often be explained by the phenomenon of "heavy-tailed cost distributions", meaning that at any tim...
Based on the Proximate Optimality Principle in metaheuristics, a Population Based Guided Local Search (PGLS) framework for dealing with difficult combinatorial optimization problem...
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
In this paper we show how imposing an organization (topology and search mechanism) on agents in a peerto-peer network can improve system performance. The organizational structure ...