In this research, a tri-objective mathematical model is proposed for the Transportation-Location-Routing problem. The model considers a three-echelon supply chain and aims to minimize total costs, maximize the minimum reliability of the traveled routes and establish a well-balanced set of routes. In order to solve the proposed model, four metaheuristic algorithms, including Multi-Objective Gre...

Abstract The ocean is rich in Marine minerals and other resources. To make effective use of these resources, it indispensable to have good resource exploration mining equipment, more attention paid ship control methods. A dynamic positioning system can the position head ship. Thrust distribution an important part DP system, its performance will a significant influence on reliability accuracy sy...

The 2D P colonies is a version of the with two-dimensional environment designed for observing behavior community very simple agents living in shared environment. Each agent equipped set programs consisting small number rules. These allow to act and move have been shown be suitable simulations various (not only) multi-agent systems, natural phenomena, like flash floods. Grey wolf algorithm optim...

Cyber-attacks and unauthorized application usage have increased due to the extensive use of Internet services applications over computer networks, posing a threat service’s availability consumers’ privacy. A network Intrusion Detection System (IDS) aims detect aberrant traffic behavior that firewalls cannot detect. In IDSs, dimension reduction using feature selection strategy has been shown be ...

Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast displacements hydropower dams. In used create whereas algorithm employed search penalty and kernel parameters for SVR. this work, multiple-arch was selected as case study. To val...

In this study, a new predictive framework is proposed by integrating an improved grey wolf optimization (IGWO) and kernel extreme learning machine (KELM), termed as IGWO-KELM, for medical diagnosis. The proposed IGWO feature selection approach is used for the purpose of finding the optimal feature subset for medical data. In the proposed approach, genetic algorithm (GA) was firstly adopted to g...

Hybridization of two or more variants algorithms is the recent trend research field. With help a hybridized algorithm we try to find out better optimal solution and solve various optimization applications. In this paper, new approach Advancement on Grey Wolf Optimization with Fitness Based Self Adaptive Differential Evolution (AGWO-FSADE) proposed. populations are calculated using self adaptive...