Development of Multi-Objective Simulation-Based Genetic Algorithm for Supply Chain Cyclic Planning and Optimisation

Proceedings of the 20th International Conference EURO Mini Conference 2008
Gaļina Merkurjeva, Liāna Napalkova

This paper presents new theoretical results of the methodology elaboration for the scenario-based research of complex systems. Basic techniques and tasks of the scenario-based research of social economic systems are formulated. Basic concepts of behaviour scenario, as well as of its elements and their characteristics are defined. Tasks of optimal synthesis of synergetic and attractive scenarios of social economic system development are determined.

Keywords
Multi-echelon cyclic planning, multi-objective optimisation, genetic algorithms

Merkurjeva, G., Napalkova, L. Development of Multi-Objective Simulation-Based Genetic Algorithm for Supply Chain Cyclic Planning and Optimisation. In: Proceedings of the 20th International Conference EURO Mini Conference, Lithuania, Neringa, 20-23 May, 2008. Neringa: VGTU Publishing House, 2008, pp.444-449.

Publication language
English (en)