We present GP-HH, a framework for evolving local-search 3-SAT heuristics based on GP. The aim is to obtain “disposable” heuristics which are evolved and used for a specific su...
A proposal for a memory design is given that is suitable for solving constrained dynamic optimization problems by an evolutionary m. Based on ideas from abstract memory, two scheme...
This contribution investigates the usefulness of F. Glover’s path tracing concept within a Genetic Algorithm context for the solution of the multiconstrained knapsack problem (MK...
Jens Levenhagen, Andreas Bortfeldt, Hermann Gehrin...
Abstract--Change detection enables an evolutionary algorithm operating in a dynamic environment to respond with undertaking necessary steps for maintaining its performance. We cons...
This paper describes our experience in using modern Web 2.0 architecture, lightweight Python frameworks, and rapid prototyping to create an AI rostering and workforce management s...