An evolutionary behavioral model for decision making

An evolutionary behavioral model for decision making

For autonomous agents the problem of deciding what to do next becomes increasingly complex when acting in unpredictable and dynamic environments while pursuing multiple and possibly conflicting goals. One of the most relevant behavior-based models that tries to deal with this problem is the behavior network model proposed by Maes. This model proposes a set of behaviors as purposive perception–a...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

An Evolutionary Approach to Group Decision Making

We propose modeling Group Support System (GSS) search tasks with Genetic Algorithms. Using explicit mathematical models for Genetic Algorithms (GAs), we show how to estimate the underlying GA parameters from an observed GSS solution path. Once these parameters are estimated, they may be related to GSS variables such as group composition and membership, leadership presence, the specific GSS tool...

An Integrated Decision Making Model for Manufacturing Cell Formation and Supplier Selection

Optimization of the complete manufacturing and supply process has become a critical ingredient for gaining a competitive advantage. This article provides a unified mathematical framework for modeling manufacturing cell configuration and raw material supplier selection in a two-level supply chain network. The commonly used manufacturing design parameters along with supplier selection and a subco...

A GA Model Development for Decision Making Under Reverse Logistics

  Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networks is becoming a main problem in reverse supply chains. Genetic Algorithm (GA) is utilized to s...