Abstract During past few decades, fuzzy decision is an important attention in the areas of science, engineering, economic system, business, etc. To solve day-to-day problem, researchers use data transportation problem for presenting uncontrollable factors; and most multi-objective problems are solved using goal programming. However, when contains interval-valued data, then obtained solution was...

The online meal delivery business in Thailand has grown substantially. Online platforms, customers, and riders are the three main stakeholders this service system. While platform aims to minimize total operation cost, customers would like receive a high-quality meal. Moreover, who responsible for pickup of customer’s house focus on maintaining their income. To address issue, research develops v...

this paper focuses on multi-objective designing of multi-machine thyristor controlled series compensator (tcsc) using strength pareto evolutionary algorithm (spea). the tcsc parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a spea ...

———————————————————————————————Abstract In sciences and industries such as signal optimization, traffic assignment, economic market and etc, many problems have been modeled by bilevel programming (BLP) problems, where in each level one must optimize some objective functions. There are so many algorithms in order to find the global optimum of the linear version of BLP problems. This paper addres...

abstract: in most industries the cost of raw materials and component parts constitutes almost 60% percent of cost of a product (in some industries up to 80%). in this situation, proper sourcing can play a key role in an organization's efficiency and effectiveness, because it has a direct effect on cost reduction, profitability and flexibility of a company. in this paper, determining the op...