Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Seven good reasons for mobile agents
Communications of the ACM
Efficient and Accurate Parallel Genetic Algorithms
Efficient and Accurate Parallel Genetic Algorithms
Programming and Deploying Java Mobile Agents Aglets
Programming and Deploying Java Mobile Agents Aglets
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
D'Agents: applications and performance of a mobile-agent system
Software—Practice & Experience - Special issue: Mobile agent systems
FIPA — Towards a Standard for Software Agents
BT Technology Journal
Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming
Genetic Programming and Evolvable Machines
A Framework for Distributed Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Predictor@Home: A "Protein Structure Prediction Supercomputer" Based on Public-Resource Computing
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 7 - Volume 08
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Guest Editors' Introduction: Autonomic Computing
IEEE Internet Computing
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue (1143 - 1198) " Distributed Bioinspired Algorithms"; Guest editors: F. Fernández de Vega, E. Cantú-Paz
Agents and Service-Oriented Computing for Autonomic Computing: A Research Agenda
IEEE Internet Computing
Analysis of a master-slave architecture for distributed evolutionary computations
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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It has become increasingly popular to employ evolutionary algorithms to solve problems in different domains, and parallel models have been widely used for performance enhancement. Instead of using parallel computing facilities or public computing systems to speed up the computation, we propose to implement parallel evolutionary computation models on networked personal computers (PCs) that are locally available and manageable. To realize the parallelism, a multi-agent system is presented in which mobile agents play the major roles to carry the code and move from machine to machine to complete the computation dynamically. To evaluate the proposed approach, we use our multi-agent system to solve two types of time-consuming applications. Different kinds of experiments were conducted to assess the developed system, and the preliminary results show its promise and efficiency.