In this paper, a new multi-objective integer non-linear programming model is developed for designing citrus three-echelon supply chain network. Short harvest period, product specifications, high perished rate, and special storing and distributing conditions make the modeling of citrus supply chain more complicated than other ones. The proposed model aims to minimize network costs includin...

Statistically constrained economic design for profiles usually refers to the selection of some parameters such as the sample size, sampling interval, smoothing constant, and control limit for minimizing the total implementation cost while the designed profiles demonstrate a proper statistical performance. In this paper, the Lorenzen-Vance function is first used to model the implementation...

This paper reports the influence of surfactant Triton X-100 on boron nitride nanotubes (BNNTs) nanofluid in non-optimized and optimized microchannel heat sink (MCHS) at 30 °C 50 °C. The MCHS performance was evaluated terms thermal resistance pressure drop, utilizing experimental thermophysical properties distilled water, a mixture water as base fluid, BNNTs weight concentration 0.001% into mode...

In this study, a new nonlinear mathematical programming model of mixed integer was presented to formulate the problem designing sustainable closed loop supply chain, in which three aspects sustainability, i.e., social effect such as job creation, customer satisfaction, and distributors, environmental effects reducing air pollution, economic chain costs, increasing reliability, quality returned ...

Modified source code validation is done by regression testing. In testing, the time and resources are limited, in which we have to select minimal test cases from suites reduce execution time. The case minimization process deals with optimization of testing removing redundant or prioritizing cases. This study proposed a prioritization approach based on multiobjective particle swarm (MOPSO) consi...

Stock traders consider several factors or objectives in making decisions. Moreover, they differ in the importance they attach to each of these objectives. This requires a tool that can provide an optimal tradeoff among different objectives, a problem aptly solved by a multi-objective optimization (MOO) system. This paper aims to investigate the application of multi-objective optimization to end...

We consider an open shop scheduling problem. At first, a bi-objective possibilistic mixed-integer programming formulation is developed. The inherent uncertainty in processing times and due dates as fuzzy parameters, machine-dependent setup times and removal times are the special features of this model. The considered bi-objectives are to minimize the weighted mean tardiness and weighted mean co...

Optimum controller placement in the presence of several conflicting objectives has received significant attention Software-Defined Wide Area Network (SD-WAN) deployment. Multi-objective evolutionary algorithms, like Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Particle Swamp Optimization (MOPSO), have proved helpful solving Controller Placement Problem (CPP) SD-WAN. However, these a...

This paper proposes a novel multi-objective ant colony system (MOACS) approach to solve the cooperative task allocation problem of multi-robot systems. The is formulated as multiple traveling salesman (MTSP). objectives are minimize total and maximum cost robotic vehicles so that workload each vehicle could be balanced. time matrices salesmen different asymmetric due flight speeds executing tas...