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Constraint programming is a powerful paradigm that allows for solving optimization and constraint satisfaction problems (CSPs). In this context, a main concern of this technology is that the efficient problem resolution usually relies on the employed solving strategy. Unfortunately, selecting the proper one is known to be complex as the behavior of strategies is commonly unpredictable. Recently, Autonomous...
Constraint Programming (CP) allows to solve constraint satisfaction and optimization problems by building and then exploring a search tree of potential solutions. Potential solutions are generated by firstly selecting a variable and then a value from the given problem, phase known as enumeration. In this context, Autonomous Search (AS) that is a particular case of adaptive systems, enables the problem...
Machine-Part Cell Formation consists on organizing a plant as a set of cells, each one of them processing machines containing different part types. In recent years, different techniques have been used to solve this problem ranging from exact to approximate methods. This paper focuses on solving new instances of this problem for which no optimal value exists by using the classic Boctor�s mathematical...
An increasing number of organizations are trending to teams for innovation and creativity. In Software Engineering it is the same, in the last years the traditional perspective on software development is changing and Agile methods have received considerable attention. Among other attributes, the agilists claim that fostering Creativity is one of the keys to response to common problems and challenges...
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