Sustainability is a monumental issue that should be considered in designing a logistics system. In order to incorporate sustainability concepts in our study, a waste collection problem with economic, environmental, and social objective functions was addressed. The first objective function minimized overall costs of the system, including establishment of depots and treatment facilities. Addressi...

The project scheduling and resource allocation problems have been studied using different optimization methods. The resource leveling problem was proposed to reduce the resource fluctuation and was always studied independently resource constraint problem. For example, resource-constrained project scheduling problem (RCPSP) was proposed to optimize scheduling under resource constraints. This res...

Previous research has shown that sub-population genetic algorithm is effective in solving the multiobjective combinatorial problems. Based on these pioneering efforts, this paper extends the SPGA algorithm with a global Pareto archive technique and a two-stage approach to solve the multi-objective problems. In the first stage, the areas next to the two single objectives are searched and solutio...

The Evolutionary Computation has grown much in last few years. Inspired by biological evolution, this field is used to solve NP-hard optimization problems to come up with best solution. TSP is most popular and complex problem used to evaluate different algorithms. In this paper, we have conducted a comparative analysis between NSGA-II, NSGA-III, SPEA-2, MOEA/D and VEGA to find out which algorit...

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 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...

The Pareto Archived Evolution Strategy 1 (PAES) KC99c, KC99b, KC99a], a local search algorithm for multiobjective optimization tasks, is compared with a modern, proven population-based EA, the Strength Pareto Evolutionary Algorithm (SPEA) of Zitzler and Thiele ZT98, ZDT99, ZT99]. Comparison is carried out with respect to six test functions designed by Deb, each of which is designed to capture a...