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This paper introduces the Backtracking Search Optimization Algorithm (BSA), a new evolutionary algorithm (EA) for solving real… Expand Publisher Summary This chapter explores that there are three main algorithmic techniques for solving constraint satisfaction… Expand Analyzing intrusions today is an arduous, largely manual task because system administrators lack the information and tools needed… Expand Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the… Expand Because of their occasional need to return to shallow points in a search tree, existing backtracking methods can sometimes erase… Expand Introduction to the CSP CSP solving - an overview chapter fundamental concepts of the CSP chapter problem reduction chapter basic… Expand Backtrack search is often used to solve constraint satisfaction problems. A relationship involving the structure of the… Expand A constraint satisfaction problem revolves finding values for a set of variables subject to a set of constraints (relations) on… Expand Backtrack algorithms are applicable to a wide variety of problems. An efficient but readable version of such an algorithm is… Expand Abstract We present a rule-based system for computer-aided circuit analysis. The set of rules, called EL, is written in a rule… Expand