The aim of lot sizing problems is to determine the periods where production takes place and the quantities to be produced in order to satisfy the customer demand while minimizing the total cost. Due to its importance on the efficiency of the production and inventory systems, Lot sizing problems are one of the most challenging production planning problems and have been studied for many years wit...

today, the effective inventory management plays an important role in the success of the organizations in the new business environment. it is not clearly possible for the organizations that store hundreds of inventory items to economically design an inventory management policy for each inventory item separately. moreover, various inventory items may play quite different roles in the business of ...

Simulated annealing is a metaheuristic that balances exploration and exploitation to solve global optimization problems. However, deal with multi- many-objective problems, this balance needs be improved due diverse factors such as the number of objectives. To issue, work proposes MOSA/D, hybrid framework for multi-objective simulated based on decomposition evolutionary perturbation functions. A...

Lot-sizing problems (LSPs) belong to the class of production planning problems in which the availability quantities of the production plan are always considered as a decision variable. This paper aims at developing a new mathematical model for the multi-level capacitated LSP with setup times, safety stock deficit, shortage, and different production manners. Since the proposed linear mixed integ...

Reducing energy consumption and maintenance costs of a pumping system is seen as an important but difficult multi-objective optimization problem. Many evolutionary algorithms, such particle swarm (PSO), (MOPSO), non-dominated sorting genetic algorithm II (NSGA-II) have been used. However, lack comparison between these approaches poses challenge to the selection approach for stormwater drainage ...

Abstract The integration of Internet Things devices onto the Blockchain implies an increase in transactions that occur on Blockchain, thus increasing storage requirements. A solution approach is to leverage cloud resources for storing blocks within chain. paper, therefore, proposes two solutions this problem. first being improved hybrid architecture design which uses containerization create a s...

This paper presents an application of an evolutionary optimization algorithm for multiobjective analysis of selective withdrawal from a thermally stratified reservoir. A multiobjective particle swarm optimization (MOPSO) algorithm is used to find nondominated (Pareto) solutions when minimizing deviations from outflow water quality targets of: (i) temperature; (ii) dissolved oxygen (DO); (iii) t...

A newmultiobjective particle swarm optimization (MOPSO) technique for environmental/economic dispatch (EED) problem is proposed in this paper. The proposed MOPSO technique evolves a multiobjective version of PSO by proposing redefinition of global best and local best individuals in multiobjective optimization domain. The proposedMOPSO technique has been implemented to solve the EED problemwith ...