PhD in Open Constraint Satisfaction Technical Report 2 : SSCM Scenarios By Timothy

PhD in Open Constraint Satisfaction: SSCM, A Position Statement

PhD in Open Constraint Satisfaction Technical Report 4 : Implementing Scenario One Strategies And The Use Of Evolutionary Computation

The Simple Supply Chain Model and Evolutionary Computation Congress on Evolutionary Computation

This paper provides an overview of the Simple Supply Chain Model (SSCM), scenarios derived from this model and the strategies being used to begin to tackle SSCM problems. The paper further provides details of how evolutionary computation is used (via Population Based Incremental Learning) to optimise parameters for the designed strategies.

Open Constraint Satisfaction

Traditionally, constraint satisfaction has been applied in closedworld scenarios, where all choices and constraints are known from the beginning and fixed. With the Internet, many of the traditional CSP applications in resource allocation, scheduling and planning pose themselves in open-world settings, where choices and constraints are to be discovered from different servers in a network. We ex...

Constraint Satisfaction Networks: from Operational Research to Cortical Microcircuits

Constraint Satisfaction Problems are ubiquitous in technical problems and natural systems. Challenging tasks in scheduling, resource allocation and robotics are usually formalized as CSPs. Although existing algorithms for solving CSPs are mature and efficient for specific problems they still need exponential time for finding a solution or even finding one. Recently, neural networks receive more...