Solid waste collection optimization using scine-cosine algorithm

Abstract

In this study, a mathematical model for optimizing the cost of solid waste recycling and management was developed. Sine-Cosine Algorithm (SCA) was used during the optimization process to identify the level of disposed solid wastes and recycled solid wastes. SCA is a recent optimization algorithm, which requires several initial individual random solutions and requires their outward or inward fluctuation towards the best solution with respect to a mathematical relationship that depends on sine and cosine functions. This algorithm also integrated several adaptive and random variables to ensure the exploration and exploitation of the solution space in different optimization tasks. The outcome of this study suggested the effectiveness of the SCA for least distance path allocation while effectively considering all factors.