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Distribution network planning using a constructive heuristic algorithm
(2009-12-01)
An optimization technique to solve distribution network planning (DNP) problem is presented. This is a very complex mixed binary nonlinear programming problem. A constructive heuristic algorithm (CHA) aimed at obtaining ...
Distribution network planning using a constructive heuristic algorithm
(2009-12-01)
An optimization technique to solve distribution network planning (DNP) problem is presented. This is a very complex mixed binary nonlinear programming problem. A constructive heuristic algorithm (CHA) aimed at obtaining ...
Exploring Hyper-Heuristic Approaches for Solving Constraint Satisfaction Problems
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2015)
Heuristic algorithm to solve the short term transmission network expansion planning
(2007-12-01)
In this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion ...
Heuristic algorithm to solve the short term transmission network expansion planning
(2007-12-01)
In this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion ...
Heuristic algorithm to solve the short term transmission network expansion planning
(Ieee, 2007-01-01)
In this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion ...
Feasibility and Availability based Heuristics for ACO algorithms solving Binary CSP
(2018)
A Constraint Satisfaction Problem is composed by a set of variables, their related domains and a set of constraints among the variables that must be satisfied. These are known as hard problems to be solved. Many algorithms ...