Genetic algorithms: bridging the convergence gap

Convergence! Collision! Bridging the Gap Between Research and Practice

Bridging the Gap Bridging the Educational Research-Teaching Practice Gap

The first paper [1] in this two-part miniseries on conceptual understanding discussed expert and novice conceptual knowledge, the multifaceted nature of conceptual understanding, and the cognitive skills essential for constructing it. This second article presents examples of instruments for the assessment and development of five facets of conceptual understanding that require competence in the ...

notes on bridging the generation gap

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Mapping the convergence of genetic algorithms

Hybrid genetic algorithms have recently become very popular metaheuristic methods (Beasley [6]). Most genetic algorithms produce offspring by mating parents and attempt to improve the population makeup by replacing existing population members with superior offspring. In contrast, hybrid genetic algorithms, sometimes called memetic algorithms (Moscato [28]), incorporate some heuristic improvemen...

Bridging the Risk Gap

It is well understood that new product development (NPD) projects are risky endeavors ( Cerpa and Verner 2009 ; Smith 1999 ; Nelson 2007 ) and that the management of risk is a vital task for managers in these types of projects. A plethora of canonical risk management standards has emerged (see, for instance, Project Management Institute 2013 ), and these are promoted as being self-evidently cor...