In this paper, we propose a new conceptual method for the design, investigation, and evaluation of multi-objective variation operators for evolutionary multi-objective algorithms. ...
Efficient evaluation of design choices, in terms of selection of algorithms to be implemented as hardware or software, and finding an optimal hw/sw design mix is an important re...
With the recent trend towards deregulating power systems around the world, transfer capability computation emerges as the key issue to a smoothly running power market with multipl...
We propose a new class of crossover operators for genetic algorithms (CrossNet) which use a network-based (or graphbased) chromosomal representation. We designed CrossNet with the...
In this paper we present a swarm grammar system that makes use of bio-inspired mechanisms of reproduction, communication and construction in order to build three-dimensional struc...