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Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms
(Mit Press, 2013-11-01)
This study reports the empirical analysis of a hyper-heuristic evolutionary algorithm that is capable of automatically designing top-down decision-tree induction algorithms. Top-down decision-tree algorithms are of great ...
Efficient heuristic algorithm used for optimal capacitor placement in distribution systems
(Elsevier B.V., 2010-01-01)
An efficient heuristic algorithm is presented in this work in order to solve the optimal capacitor placement problem in radial distribution systems. The proposal uses the solution from the mathematical model after relaxing ...
Efficient heuristic algorithm used for optimal capacitor placement in distribution systems
(Elsevier B.V., 2010-01-01)
An efficient heuristic algorithm is presented in this work in order to solve the optimal capacitor placement problem in radial distribution systems. The proposal uses the solution from the mathematical model after relaxing ...
Overlap Algorithms in Flexible Job-shop Scheduling
The flexible Job-shop Scheduling Problem (fJSP) considers the execution of jobs by a set of candidate resources while satisfying time and technological constraints. This work, that follows the hierarchical architecture, ...
Escaping Heuristic Hollows in Real-Time Search without Learning
(IEEE, 2010)
Real-time search is a standard approach to solving search problems in which agents have limited sensing capabilities and must act quickly. It is well known that real-time search algorithms like LRTA* and RTA* perform poorly ...
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 ...
Accelerating autonomous learning by using heuristic selection of actions
(2008)
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control policies using any RL algorithm can be very ...
An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning
(2012-04-23)
An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are ...
An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning
(2012-04-23)
An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are ...