This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artistās perspective, the computer-generated patterns oļ¬...
Namrata Khemka, Scott Novakowski, Gerald Hushlak, ...
We present an optimization algorithm based on a model of bacterial chemotaxis. The original biological model is used to formulate a simple optimization algorithm, which is evaluate...
The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predeļ¬ned control parameters values, which are usually used for geneti...
We introduce quotient graphs for modeling neutrality in evolutionary search. We demonstrate that for a variety of evolutionary computing problems, search can be characterized by g...