in this paper, a new method based on branch placement for the optimal positioning of phasor measurement units (pmus) in power systems is proposed. in this method, the pmus are in type of single-channel and are installed at the beginning of the branches. therefore, they are able to measure the bus voltages. also, the installation of the pmus on the branches increases the security of observabilit...

in this paper, we present a simulated annealing (sa) and a genetic algorithm (ga) based on heuristics for scheduling problem of jobs in virtual cellular manufacturing systems. a virtual manufacturing cell (vmc) is a group of resources that is dedicated to the manufacturing of a part family. although this grouping is not reflected in the physical structure of the manufacturing system, but machin...

A method is described to assign product due dates for multistage assemblies with uncertain manufacturing and assembly process times. Earliest start times of operations are specified by a predetermined production plan and processing time distributions for operations are truncated at minimum processing times. The method systematically decomposes the complex product structures of multistage assemb...

This paper presents a production-inventory model for deteriorating items with stock-dependent demand under inflation in a random planning horizon. The supplier offers the retailer fully permissible delay in payment. It is assumed that the time horizon of the business period is random in nature and follows exponential distribution with a known mean. Here learning effect is also introduced for th...

In this paper, we present a simulated annealing (SA) and a genetic algorithm (GA) based on heuristics for scheduling problem of jobs in virtual cellular manufacturing systems. A virtual manufacturing cell (VMC) is a group of resources that is dedicated to the manufacturing of a part family. Although this grouping is not reflected in the physical structure of the manufacturing system, but machin...

−We investigate the performance of a classical constrained optimisation (CCO) algorithm and a constrained optimisation Genetic Algorithm (GA) for solving the Bandwidth Allocation for Virtual Paths (BAVP) problem. We compare throughput, fairness and time complexity of GA-BAVP and CCO-BAVP for several node topologies. The results on maximising the throughput obtained with GA-BAVP and CCOBAVP are ...

In this paper, we analyze the characteristics of the dynamic job shop scheduling problem when machine breakdown and new job arrivals occur. A hybrid approach involving neural networks(NNs) and geneticalgorithm(GA) is presented to solve the dynamic job shop scheduling problem as a static scheduling problem. The objective of this kind of job shop scheduling problem is minimizing the completion ti...

This paper explains minimization of makespan or total completion time for n-jobs, m-machine, no-wait flowshop problem (NW-FSSP). A spread sheet based general purpose genetic algorithm is proposed for the NW-FSSP. The example analysis shows that the proposed approach produces results are comparable to the previous approaches cited in the literature. Additionally, it is demonstrated that the curr...

This paper addresses a new mixed integer nonlinear and linear mathematical programming economic lot sizing and scheduling problem in distributed permutation flow shop problem with number of identical factories and machines. Different products must be distributed between the factories and then assignment of products to factories and sequencing of the products assigned to each factory has to be d...

This paper presents a mathematical model for designing cellular manufacturing systems (CMSs) solved by genetic algorithms. This model assumes a dynamic production, a stochastic demand, routing flexibility, and machine flexibility. CMS is an application of group technology (GT) for clustering parts and machines by means of their operational and / or apparent form similarity in different aspects ...