Chaotic fitness-dependent optimizer for planning and engineering design

Fitness Dependent Optimizer (FDO) is a recent metaheuristic algorithm that mimics the reproduction behavior of bee swarm in finding better hives. This similar to Particle Swarm Optimization (PSO) but it works differently. The very powerful and has results compared other common algorithms. paper aims at improving performance FDO, thus, chaotic theory used inside FDO propose Chaotic (CFDO). Ten maps are CFDO consider which them performing well avoid local optima global optima. New technic conduct population specific limitation since problem amend population. proposed evaluated by using 10 benchmark functions from CEC2019. Finally, show ability improved. Singer map great impact on while Tent worst. Results superior GA, CSO. Both CEC2013 CEC2005 evaluate CFDO. applied classical engineering problems, such as pressure vessel design result shows can handle than WOA, GWO, CGWO. Besides, solve task assignment then original FDO. prove capability problem.