Research on Adaptive Genetic Algorithm for an Integrated VMI System Model
نویسندگان
چکیده
Based on the introduction of the new adaptive probability for chromosome cross and chromosome mutate, this paper presents a new method for constructing chromosome. A new genetic algorithm for an integrated model of a single finished product VMI (Vendor Managed Inventory) system considering markets and one level BOM (Bill of Materials) is developed. An example is given to illustrate the convergence property and the convergence efficiency of the algorithm. Simulation shows that this method is effective.
منابع مشابه
Adaptive Network-based Fuzzy Inference System-Genetic Algorithm Models for Prediction Groundwater Quality Indices: a GIS-based Analysis
The prediction of groundwater quality is very important for the management of water resources and environmental activities. The present study has integrated a number of methods such as Geographic Information Systems (GIS) and Artificial Intelligence (AI) methodologies to predict groundwater quality in Kerman plain (including HCO3-, concentrations and Electrical Conductivity (EC) of groundwater)...
متن کاملDesign of A Self-Tuning Adaptive Power System Stabilizer
Power system stabilizers (PSSs) must be capable of providing appropriate stabilization signals over abroad range of operating conditions and disturbances. The main idea of this paper is changing aclassic PSS (CPSS) to an adaptive PSS using genetic algorithm. This new genetic algorithm based onadaptive PSS (GAPSS) improves power system damping, considerably. The controller design issue isformula...
متن کاملA parameter-tuned genetic algorithm for vendor managed inventory model for a case single-vendor single-retailer with multi-product and multi-constraint
This paper develops a single-vendor single-retailer supply chain for multi-product. The proposed model is based on Vendor Managed Inventory (VMI) approach and vendor uses the retailer's data for better decision making. Number of orders and available capital are the constraints of the model. In this system, shortages are backordered; therefore, the vendor’s warehouse capacity is another limitati...
متن کاملAdaptive Neuro Fuzzy Sliding Mode Based Genetic Algorithm Control System to Control of a pH Neutralization Process
In this paper, an adaptive neuro fuzzy sliding mode based genetic algorithm (ANFSGA) controlsystem is proposed for a pH neutralization system. In pH reactors, determination and control of pH isa common problem concerning chemical-based industrial processes due to the non-linearity observedin the titration curve. An ANFSGA control system is designed to overcome the complexity of precisecontrol o...
متن کاملAn Integrated Aggregate Production Planning Model with Two-Phase Production System and Maintenance Costs
Aggregate production planning (APP) is one of the most important issues carried out in manufacturing environments which seeks efficient planning, scheduling and coordination of all production activities that optimizes the company's objectives. In this paper, we develop a mixed integer linear programming (MILP) model for an integrated aggregate production planning system with closed loop supply ...
متن کامل