Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
This paper proposes a coprocessor architecture to speed up hardware evolution. It is designed to be implemented in an FPGA with an integrated microprocessor core. The coprocessor r...
Tillmann Schmitz, Steffen G. Hohmann, Karlheinz Me...
This paper describes an evolutionary search scheduling algorithm (ESSA) for the job shop scheduling problem (JSSP). If no specific knowledge of the problem is included in the EA t...
Patrick van Bael, Dirk Devogelaere, Marcel Rijckae...