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Optimal power flow (OPF) is one of the main functions of power generation operation and control. It determines the optimal setting of generating units. It is therefore of great importance to solve this problem as quickly and accurately as possible. This paper presents the solution of the OPF using genetic algorithm technique. This paper proposes a new(More)
Dynamic programming (DP) is a mathematical procedure designed primarily to improve the computational efficiency of solving select mathematical programming problems by decomposing them into smaller, and hence computationally simpler, subproblems. In solving multiple objectives dynamic programming problem (MODP), classical approaches reduce the multiple(More)
Over the past few years, researchers have developed a number of multiobjective evolutionary algorithms (MOEAs). Although most studies concentrate on solving unconstrained optimization problems, there exit a few studies where MOEAs have been extended to solve constrained optimization problems. Most of them were based on penalty functions for handling(More)
A real-time system is a computerisation of monitoring and controlling of an external environment. The system must meet various timing and other constraints that are imposed on it by the real-time behaviour of the external world. The difference between real-time software and conventional software is that a real-time program must be both logically and(More)
We propose a static uncapacitated multi-commodity flow model along with a time-based scheduling tool for solving evacuation scheduling problems with capacity constraints. The paper addresses the problem of modeling evacuation scheduling out of an affected area, there are a pre-defined set of exit points out of the target affected area and a set of source(More)
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