The Flower Pollination Algorithm (FPA) is a new natural bio-inspired optimization algorithm that mimics the real life processes of the flower pollination. Thus, the latter has a quick convergence, but its population diversity and convergence precision can be limited in some applications. In order to improve its intensification (exploitation) and diversification (exploration) abilities, we have introduced a simple modification in its general structure. More precisely, we have added both Crossover and Mutation Genetic Algorithm (GA) operators respectively, just after calculating the new candidate solutions and the greedy selection operation in its basic structure. The proposed method, called FPA-GA has been tested on all the CEC2005 contest test instances. Ex t FPA-GA is very competitive.
|Name||Linköping electronic conference proceedings|
|Publisher||Linköping University Electronic Press|
|Conference||EUROSIM Congress on Modelling and Simulation & SIMS Conference on Simulation and Modelling|
|Abbreviated title||EUROSIM 2016 and SIMS 2016|
|Period||12/09/2016 → 16/09/2016|