This paper presents a configurable distributed architecture for ant colony optimization. We
represent the problem environment as a distributed multi-agent system, and we reduce ant …

The work deals with the distributed machine learning. Distributed learning from data is
considered to be an important challenge faced by researchers and practice in the domain of …

JABAT supports designing and implementing A-Team architectures for solving difficult
optimization problems. This paper presents several applications of JABAT as a tool for …

In this paper we present our approach and initial results for solving the Traveling Salesman
Problem using Ant Colony Optimization on distributed multi-agent architectures. We …

Recently we have setup the goal of investigating new truly distributed forms of Ant Colony
Optimization. We proposed a new distributed approach for Ant Colony Optimization (ACO) …

Introduction The techniques used to solve difficult combinatorial optimization problems have
evolved from constructive algorithms to local search techniques, and finally to population …

The chapter investigates effects and impact of cooperation between the cooperating A-
Teams working in parallel and combined into an architecture de-signed for solving difficult …

The paper proposes and evaluates an architecture for solving difficult combinatorial
optimization problems in which several A-Teams work in parallel and cooperate. The …

In this paper a survey on existing distributed approaches to swarm intelligence approaches
for graph search problems is presented. In particular we reviewed papers on Ant Colony …

In this paper we discuss the experimental evaluation of an improved configuration of our
recent framework ACODA (Ant Colony Optimization on a Distributed Architecture) for solving …