Solid waste recycling and management cost optimization algorithm

Solid waste is a major issue in today's world. Which can be contributing factor to pollution and the spread of vector-borne diseases. Because its complicated nonlinear processes, this problem difficult model optimize using traditional methods. In study, mathematical was developed cost solid recycling management. optimization phase, salp swarm algorithm (SSA) utilized determine level discarded reclaimed waste. An technique SSA new method finding ideal solution for relationship based on leaders followers. It takes lot random solutions, as well their outward or inward fluctuations, find optimal solution. This also included multiple adaptive variables guarantee that space explored used various tasks. When all criteria are considered, results study show efficient least-distance path allocation. The simulation findings reveal significant improvement over well-known particle (PSO) algorithm, with disposal costs decreasing by 10% 30%.