In the last decade, simulation software as a tool for managing and controlling business processes has received lot of attention. Many new features allow businesses to achieve better quality results using optimisation, such genetic algorithms. This article describes use modelling in shipment sorting that are optimised by algorithm’s involvement. The designed algorithm model focuses on optimising...

Abstract In industrial production, parallel robot is often used for sorting, battery clamp divided into two structures, the classification and multi-target sorting problems. The motion path of end-effector planned, overall practical problem transformed a similar traveling salesman problem. improved genetic algorithm proposed to optimize time sequence, optimized shortens 10.23% total distance on...

in this study, a bi-objective model for integrated planning of production-distribution in a multi-level supply chain network with multiple product types and multi time periods is presented. the supply chain network including manufacturers, distribution centers, retailers and final customers is proposed. the proposed model minimizes the total supply chain costs and transforming time of products ...

Many studies are performed by researchers about Shell and Tube Heat Exchanger but the Multi-Objective Big Bang-Big Crunch algorithm (MOBBA) technique has never been used in such studies. This paper presents application of Thermal-Economic Multi-Objective Optimization of Shell and Tube Heat Exchanger Using MOBBA. For optimal design of a shell and tube heat exchanger, it was first thermally model...

Nowadays, the capability of cloud management suppliers is one of the important advantages for suppliers that can improve the performance and flexibility and reduce costs in companies through easy access to resources. Also, the environmental impacts of suppliers are a significant issue in today’s industrialization and globalization world. This paper analyzes these subjects by fuzzy multi-objecti...

 In this research, a tri-objective mathematical model is proposed for the Transportation-Location-Routing problem. The model considers a three-echelon supply chain and aims to minimize total costs, maximize the minimum reliability of the traveled routes and establish a well-balanced set of routes. In order to solve the proposed model, four metaheuristic algorithms, including Multi-Objective Gre...

In applying the Genetic Programming paradigm to the task of evolving iterative sorting algorithms, a variety of interesting lessons were learned. With proper selection of the primitives, sorting algorithms were evolved that are both general and non-trivial. The sorting problem was then used as a testbed to evaluate the value of several alternative parameters, with some small gains shown. The va...