Dingo Optimizer: A Nature-Inspired Metaheuristic Approach for Engineering Problems

Optimization is a buzzword, whenever researchers think of engineering problems. This paper presents new metaheuristic named dingo optimizer (DOX) which motivated by the behavior (Canis familiaris dingo). The overall concept to develop this method involving collaborative and social dingoes. developed algorithm based on hunting dingoes that includes exploration, encircling, exploitation. All above prey steps are modeled mathematically implemented in simulator test performance proposed algorithm. Comparative analyses drawn among approach grey wolf (GWO) particle swarm (PSO). Some well-known functions used for comparative study work. results reveal performed significantly better than other nature-inspired algorithms.