HELGA: a heterogeneous encoding lifelike genetic algorithm for population evolution modeling and simulation - Soft Computing

1. The Hamming distance of 10 has been chosen for exemplification purposes. The HELGA interface and app (see http://helga.hpc.pub.ro) allows users to chose their own biological diversity for simulation of population evolution. For instance, one could run the simulation allowing any and various degrees of incest, the algorithm allows versatility and it is a tool in studying what happens to human population in different conditions and with different constraints.

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Authors and Affiliations

1. Automatic Control and Systems Engineering Department, Faculty of Automatic Control and Computers, University Politehnica of Bucharest, Bucharest, Romania

   Monica Patrascu

2. Department of Systems Innovation, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

   Alexandra Florentina Stancu

3. Makino Milling Machine CO., LTD, Tokyo, Japan

   Alexandra Florentina Stancu

4. Computer Science Department, Faculty of Automatic Control and Computers, University Politehnica of Bucharest, Bucharest, Romania

   Florin Pop

Corresponding author

Correspondence to Florin Pop.