The selection problem of an optimal set sensors estimating the snapshot high-dimensional data is considered. objective functions based on various criteria design are adopted to greedy method: D-optimality, A-optimality, and E-optimality, which maximizes determinant, minimize trace inverse, maximize minimum eigenvalue Fisher information matrix, respectively. First, matrix derived depending numbe...

The technological development of Internet Things (IoT) applications is emerging and attracting the attention real world in automated industry, agriculture, environment, scientific community. In most scenarios, extending network lifetime an IoT highly challenging because constrained nodes. wireless sensor (WSN) core component applications. addition, WSN nodes are required for processes, particul...

The nature of construction and formulation the multi-objective functions in flexible job shop (FJS) provides great insights about study technique mechanism scheduling helping to prioritize efforts for optimizing manufacturing execution performance, which draw focus researchers at home abroad. From perspective model, solution method objective function, this paper reviews analyzes related academi...

Abstract This paper proposes the Self-Adaptive algorithm for Multi-Objective Constrained Optimization by using Radial Basis Function Approximations, SAMO-COBRA. automatically determines best Function-fit as surrogates objectives well constraints, to find new feasible Pareto-optimal solutions. SAMO-COBRA is compared a wide set of other state-of-the-art algorithms (IC-SA-NSGA-II, SA-NSGA-II, NSGA...

nowadays, the environmental impact of transportation project and, especially air pollution impacts, are major concerns in evaluating transportation projects. based on this concern, beside definition of traditional objective functions like total travel time and total investment cost, different type of environmental related function is considered as objective function in urban network design. in...