An efficient load scheduling method to meet varying power supply needs is presented in this paper. At peak load times, the power generation system fails due to its instability. Traditionally we use load shedding process. In load shedding process disconnect the unnecessary and extra loads. The proposed method overcomes this problem by scheduling the load based on the requirement. Artificial neur...

Instruction scheduling is a crucial phase in a compiler for very long instruction word (VLIW) processors. This paper describes the instruction scheduler of the second generation compiler for the TriMedia VLIW mediaprocessor family as well as related compiler issues to increase the size of a scheduling unit. The paper discusses the guarded decision tree scheduling unit, how guarded decision tree...

This paper describes a Distributed Genetic Algorithm (DGA) which has been used to solve generic scheduling problems. The GA based scheduler allows the user to deene and solve any scheduling problem. It does this using a Scheduling Description Language (SDL). The sort of problem that it might tackle are: job-shop scheduling (JJS), time-tabling, resource sequencing etc. We describe a unique chrom...

uncertainty plays a major role in any project evaluation and management process. one of the trickiest parts of any production project work is its cost and time forecasting. since in the initial phases of production projects uncertainty is at its highest level, a reliable method of project scheduling and cash flow generation is vital to help the managers reach successful implementation of the pr...

This paper proposes a novel approach for generation scheduling using sensitivitycharacteristic of a Security Analyzer Neural Network (SANN) for improving static securityof power system. In this paper, the potential overloading at the post contingency steadystateassociated with each line outage is proposed as a security index which is used forevaluation and enhancement of system static security....

Next generation wireless networks have many promising features, such as high datarates, hybrid voice and data services, integration of different wireless access technologies, andintelligent networks with self-maintenance. With these features, several scheduling andresource optimization issues arise. In this dissertation, I aim to address these issues by firstformulating the prob...

Many scheduling problems involve reasoning about tasks which may or may not actually occur, so called optional tasks. The state-ofthe-art approach to modelling and solving such problems makes use of interval variables which allow a start time of ⊥ indicating the task does not run. In this paper we show we can model interval variables in a lazy clause generation solver, and create explaining pro...