Rider Optimization Algorithm (ROA): An optimization solution for engineering problem

Optimization is a process and instrument applied to solve an engineering problem. Rider optimization algorithm (ROA) is a new optimization technique used to find the target location through different components like bypass rider, follower, overtake, and attackers’ parameters. An optimization problem can be solved through an objective function. The inspirational ROA development is based on the riders who proceed towards target locations to win the race. Any optimization problem is either nature-inspired or artificial intelligence techniques. Some of the nature-inspired algorithms are firefly algorithm (FA), ant colony optimization (ACO), particle swarm optimization (PSO), grey wolf optimization (GWO), spider monkey optimization (SMO), and so on. For solving engineering problems, multi-objective optimizations are used for engineering design, scientific experiments and decision making, etc. This paper introduces ROA, its application in industries, and usability in engineering and industrial problem. The purpose of this paper is to identify the importance and understanding of the optimization-related problem.