Sine Cosine Algorithm for Multi-objective Optimization

Abstract

In many real-world situations, we have to deal with multiple objectives simultaneously in order to make appropriate decisions. The presence of multiple objectives in an optimization problem makes the problem challenging because most of the time these objectives are conflicting in nature. For example, we may want to maximize the return on investment of a portfolio and, on the other hand, minimize the risk associated with the assets in the portfolio. We may want to minimize the cost of a product while maximizing the performance of that particular product. Similarly, there are situations where we may want to maximize more than one objective at a time and minimize multiple objectives for a given optimization problem. For instance, a product manager in an XYZ mobile manufacturing company is supervising the launch of a new smartphone in the market. He/she will have to consider many features and configurations of the smartphone before launching. He/she might have to consider features like the screen resolution, size of the screen, thickness of the phone, camera resolution, battery life, operating system, and even aesthetics of the product. On the other hand, he/she might also want to minimize the amount of labor, time of production, and overall cost associated with the project. He/she knows that the objectives, in this case, are conflicting, and simultaneously achieving every objective in not possible. The solution to this dilemma is to look for some trade-off solutions so that the main motive of the problem can be served.