Memetic algorithms: a short introduction
New ideas in optimization
The Simple Genetic Algorithm: Foundations and Theory
The Simple Genetic Algorithm: Foundations and Theory
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Agent-Oriented Model of Simulated Evolution
SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
Design of Security System Based on Immune System
WETICE '01 Proceedings of the 10th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Agent-Based Evolutionary and Immunological Optimization
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
An Evolutionary ILS-Perturbation Technique
HM '08 Proceedings of the 5th International Workshop on Hybrid Metaheuristics
Memetic Algorithm for Intense Local Search Methods Using Local Search Chains
HM '08 Proceedings of the 5th International Workshop on Hybrid Metaheuristics
Incremental Particle Swarm-Guided Local Search for Continuous Optimization
HM '08 Proceedings of the 5th International Workshop on Hybrid Metaheuristics
Formal model for agent-based asynchronous evolutionary computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
| Hi-index | 0.00 |
The mathematical model of the biologically inspired, memetic, agent-based computation systems EMAS and iEMAS conformed to BDI standard is presented. The state of the systems and their dynamics are expressed as stationary Markov chains. Such an approach allows to better understand their complex behavior as well as their limitations.