
By Khaled Ghedira
A Constraint pride challenge (CSP) comprises a collection of variables, a website of values for every variable and a collection of constraints. the target is to assign a cost for every variable such that every one constraints are chuffed. CSPs proceed to obtain elevated cognizance due to either their excessive complexity and their omnipresence in educational, business or even real-life difficulties. reason why they're the topic of excessive learn in either synthetic intelligence and operations study. This publication introduces the vintage CSP and information numerous extensions/improvements of either formalisms and strategies to be able to take on a wide number of difficulties. Consistency, versatile, dynamic, dispensed and studying facets are mentioned and illustrated utilizing basic examples reminiscent of the n-queen problem.
Contents
1. Foundations of CSP.
2. Consistency Reinforcement Techniques.
three. CSP fixing Algorithms.
four. seek Heuristics.
five. studying Techniques.
6. Maximal Constraint pride Problems.
7. Constraint pride and Optimization Problems.
eight. Distibuted Constraint pride Problems.
About the Authors
Khaled Ghedira is the final handling director of the Tunis technology urban in Tunisia, Professor on the collage of Tunis, in addition to the founding president of the Tunisian organization of synthetic Intelligence and the founding director of the SOIE learn laboratory. His learn parts comprise MAS, CSP, shipping and creation logistics, metaheuristics and defense in M/E-government. He has led numerous nationwide and foreign study initiatives, supervised 30 PhD theses and greater than 50 Master’s theses, co-authored approximately three hundred magazine, convention and publication learn papers, written textual content books on metaheuristics and creation logistics and co-authored 3 others.
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