Extension of the constrained ant colony optimization algorithms for the optimal operation of multi-reservoir systems
نویسندگان
چکیده
منابع مشابه
Reservoir Operation by Ant Colony Optimization Algorithms
In this paper, ant colony optimization (ACO) algorithms are proposed for reservoir operation. Through a collection of cooperative agents called ants, the near-optimum solution to the reservoir operation can be effectively achieved. To apply ACO algorithms, the problem is approached by considering a finite horizon with a time series of inflow, classifying the reservoir volume to several interval...
متن کاملAnt Colony Optimization for Multi-Purpose Reservoir Operation
In this paper a metaheuristic technique called Ant Colony Optimization (ACO) is proposed to derive operating policies for a multi-purpose reservoir system. Most of the real world problems often involve non-linear optimization in their solution with high dimensionality and large number of equality and inequality constraints. Often the conventional techniques fail to yield global optimal solution...
متن کاملImproved Ant Colony Optimization Algorithm for Reservoir Operation
In this paper, an improved Ant Colony Optimization (ACO) algorithm is proposed for reservoir operation. Through a collection of cooperative agents called ants, the near-optimum solution to the reservoir operation can be e ectively achieved. To apply the proposed ACO algorithm, the problem is approached by considering a nite horizon with a time series of in ow, classifying the reservoir volume t...
متن کاملMulti-Colony Ant Algorithm for Continuous Multi-Reservoir Operation Optimization Problem
Ant Colony Optimization (ACO) algorithms are basically developed for discrete optimization and hence their application to continuous optimization problems require the transformation of a continuous search space to a discrete one by discretization of the continuous decision variables. Thus, the allowable continuous range of decision variables is usually discretized into a discrete set of allowab...
متن کاملOptimal Multi-Objective Placement of UPFC for Planning the Operation of Power Systems Using the Water Cycle Optimization Algorithm
Abstract: Unified Power Flow Controller (UPFC) is one of the FACTS devices which plays a crucial role in simultaneous regulating active and reactive power, improving system load, reducing congestion and cost of production. Therefore, determining the optimum location of such equipment in order to improve the performance of the network is significant. In this paper, WCA algorithm is used to locat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Hydroinformatics
سال: 2012
ISSN: 1464-7141,1465-1734
DOI: 10.2166/hydro.2012.081