منابع مشابه
A Heuristic Algorithm for Project Scheduling Problem to Maximizing the Net Present Value
This paper deals with resource unconstrained project scheduling problems with the objective of maximizing the net present value (NPV) of project cash flows. Here we present a heuristic algorithm named as differential procedure (Dif_AOA).
In order to evaluate the efficiency of this algorithm, networks with node numbers between 10-1000 and network complexity coefficients between 1.3-6.6 have ...
متن کاملA Heuristic Algorithm for Project Scheduling Problem to Maximizing the Net Present Value
This paper deals with resource unconstrained project scheduling problems with the objective of maximizing the net present value (NPV) of project cash flows. Here we present a heuristic algorithm named as differential procedure (Dif_AOA). In order to evaluate the efficiency of this algorithm, networks with node numbers between 10-1000 and network complexity coefficients between 1.3-6.6 have be...
متن کاملProject scheduling optimization for contractor’s Net present value maximization using meta-heuristic algorithms: A case study
Today's competitive conditions have caused the projects to be carried out in the least possible time with limited resources. Therefore, managing and scheduling a project is a necessity for the project. The timing of a project is to specify a sequence of times for a series of related activities. According to their priority and their latency, so that between the time the project is completed and ...
متن کاملHeuristic approach for forecast scheduling
Forecast Scheduling (FS) is a scheduling concept that utilizes rate prediction along the users’ trajectories in order to optimize the scheduler allocation. The rate prediction is based on Signal to Interference plus Noise Ratio (SINR) or rate maps provided by a Radio Environment Map (REM). The FS has been formulated as a convex optimization problem namely the maximization of an α−fair utility f...
متن کاملBayesian Heuristic Approach to Scheduling
Real life scheduling problems are solved by heuristics with parameters defined by experts, as usual. In this paper a new approach is proposed where the parameters of various heuristics and their random mixtures are optimized to reduce the average deviations from the global optimum. In many cases the average deviation is a stochastic and multi-modal function of heuristic parameters. Thus a stoch...
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ژورنال
عنوان ژورنال: The International Conference on Applied Mechanics and Mechanical Engineering
سال: 1984
ISSN: 2636-4360
DOI: 10.21608/amme.1984.49922