In recent years, many evolutionary algorithms and population-based algorithms have been developed for solving multi-objective optimization problems. In this paper, the authors propose a new multi-objective brain storm optimization algorithm in which the clustering strategy is applied in the objective space instead of in the solution space in the original brain storm optimization algorithm for s...

Flower pollination algorithm is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, we extend this flower algorithm to solve multi-objective optimization problems in engineering. By using the weighted sum method with random weights, we show that the proposed multi-objective flower algorithm can accurately find the Pareto fronts for a set of test fun...

This paper deals with a bi-objective hybrid no-wait flowshop scheduling problem minimizing the makespan and total weighted tardiness, in which we consider transportation times between stages. Obtaining an optimal solution for this type of complex, large-sized problem in reasonable computational time by using traditional approaches and optimization tools is extremely difficult. This paper presen...

In this paper, we show how cellular structures can be combined with a multi-objective genetic algorithm (MOGA) for improving its search ability to find Pareto-optimal solutions of multi-objective optimization problems. We propose an assignment method of a different search direction to each cell for implementing a cellular MOGA. In our cellular MOGA, every individual in each population exists in...

In this paper, based on Magnetotactic Bacteria Optimization Algorithm(MBOA), magnetotactic bacterium multi-objective optimization algorithm (MBMOA) is proposed for solving multi-objective optimization problems(MOPs). Magnetotactic bacterium optimization algorithm is a novel random research algorithm which simulates the process of magnetotactic bacteria (MTB) producing magnetosomes(MTS) to regul...

Abstract The most crucial function in drilling wells is the rate of penetration, which modeled by many researchers, and best one Young-Bourgyen model, used this study. Eight factors affecting penetration have been studied approved developing a mathematical equation that shows combined effects these variables on optimization. This paper presents an efficient way to find optimum values for parame...

In this paper, a novel hybrid algorithm for the optimization of indoor wireless network planning is applied to a polyvalent arts centre. The results of the algorithm are compared with those of a heuristic network planner for three scenarios. Results show that our algorithm is effective for optimization of wireless networks, satisfying maximum coverage, minimal power consumption, minimal cost, a...

The increasing demand for low-cost space-borne Earth observation missions has led to small satellite constellation systems development. CubeSat platforms can provide a cost-effective multiple-mission space system using state-of-the-art technology. This paper presents new approach design multiple multi-objective genetic algorithm (MOGA). is proposed perform multi-missions that should satisfy glo...

In machining operations, minimizing the usage of resources such as energy, tools, costs, and production time, while maximizing process outputs surface quality productivity, has a significant impact on environment, sustainability, profit. this context, paper reports utilization advanced multi-objective algorithms for optimization turning-process parameters, mainly cutting speed, feed rate, depth...