Honey formation optimization: HFO

In this paper, a new optimization framework, namely Honey Formation Optimization (HFO), is proposed. contrary to the Artificial Bee Colony (ABC) variants in literature, HFO considers food sources consisting of many components and model honey formation inside bees as process mixing with their special enzymes during chewing up source. We believe that analyze amounts source attempt more collect weaker (less amount) improve process. Thus, each time worker exploits it selects component such way are frequently selected. The approach requires decomposing solution into where evaluated by fitness function. formula maps amount considered equivalence bee uses selected evaluate does local search only around component. ABC Frameworks compared on basis 9 benchmark functions. result shows performs better than ABC.