Multi-factorial evolutionary algorithm based novel solution approach for multi-objective pollution-routing problem

Amit Rauniyar, Rahul Nath, Pranab K. Muhuri

Abstract: Highlights•A novel formulation of the multi-objective pollution routing problem (PRP) and its solution by implementing integer-encoded NSGA-II.•Designing of a Multi-Factorial Evolutionary Algorithm (MFEA) based novel solution approach for simultaneous optimization of distance of routes for the multi-objective PRP.•Simulation experiments using benchmark datasets.•Thorough comparative analysis in terms of objective values and well-known performance measures.