TY - JOUR ID - 98874 TI - A Novel Hybrid Whale Optimization Algorithm to Solve a Production-Distribution Network Problem Considering Carbon Emissions JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Mehranfar, Nasrin AU - Hajiaghaei-Keshteli, M. AU - Fathollahi-Fard, Amir Mohammad AD - Department of Industrial Engineering, Shomal University, Amol, Iran AD - Department of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran AD - Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran Y1 - 2019 PY - 2019 VL - 32 IS - 12 SP - 1781 EP - 1789 KW - Production-Distribution Networks KW - optimization KW - carbon emissions KW - Nature-inspired algorithm KW - Whale Optimization Algorithm KW - Simulated Annealing DO - 10.5829/ije.2019.32.12c.11 N2 - Nowadays, there is a great deal of attention for regulations of carbon emissions to enforce the decision-makers of production and distribution networks to redesign their systems satisfactorily. The literature has seen a rapid interest in developing novel metaheuristics to solve this problem as a complicated optimization problem. Such difficulties motivate us to address a production-distribution network design problem considering carbon emissions policies among the first studies in this area by a novel hybrid whale optimization algorithm. Accordingly, a mixed integer non-linear programming model has been developed. To tackle the proposed problem, a new hybrid metaheuristic based on whale optimization algorithm and simulated annealing as a successful optimizer is employed to solve the proposed problem. The calibration of the algorithms has been designed by Taguchi method, comprehensively. Finally, an extensive analysis has been evaluated through a comparative study along with some assessment metrics of Pareto solutions. UR - https://www.ije.ir/article_98874.html L1 - https://www.ije.ir/article_98874_3656cd63eeae4ba6d2877ead71ec5fcc.pdf ER -