The presence of benchmark problems provides an important stimulus in fields related to the development of new methodologies. Currently, benchmark data for nature-inspired networks are scarce. To increase the collection of benchmark data, we propose, in this work, a number of interesting and rather difficult managerial and financial decision problems that can be found in the literature. Usually,...

This paper recommends the use of grasshopper optimization algorithm (GOA), a nature-inspired algorithm, for optimizing switching-angle applied to cascaded H-bridge multilevel inverter (CHBMLI). Switching angles are selected based on minimum value objective function formulated using concept selective harmonic minimization pulse width modulation (SHMPWM) technique. MATLAB/Simulink-PSIM dynamic co...

Nature is a tremendous provenance of resolving hard and complex problems that exist in the field computer science because it reveals very diverse, robust, dynamic, interesting phenomenon. It constantly finds optimal solution to resolve its problem which accomplishes exact equity among element. Nature-inspired algorithms are heuristic high-level procedure interprets nature solve optimization pop...

Metaheuristic algorithms are often nature-inspired, and they are becoming very powerful in solving global optimization problems. More than a dozen of major metaheuristic algorithms have been developed over the last three decades, and there exist even more variants and hybrid of metaheuristics. This paper intends to provide an overview of nature-inspired metaheuristic algorithms, from a brief hi...

Different kinds of meta-heuristic algorithms have been recently utilized to overcome the complex nature of optimum design of structures. In this paper, an integrated optimization procedure with the objective of minimizing the self-weight of real size structures is simply performed interfacing SAP2000 and MATLAB® softwares in the form of parallel computing. The meta-heuristic algorithm chosen he...