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101 959 (0,275s)

Result

Deep Heuristic-learning in the Rubik's Cube Domain: An Experimental Evaluation

is informed forward search driven by a~heuristic function which estimates the quality of encountered states. Designing a~powerful and easily-computable heuristics however is still such heuristic automatically. We ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Link
Result

Heuristic Search Optimisation Using Planning and Curriculum Learning Techniques

Learning a well-informed heuristic function for hard planning domains of the heuristics. This paper presents a network model that learns a heuristic function capable the attention mechanism which drastical...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Link
Result

Vehicle Routing With Three Types of Cost Functions: A Randomized Heuristic Approach

Main topics of the document: vehicle routing; integer programming; heuristic...

Statistics and probability

  • 2018
  • D
  • Link
Result

Controlled Random Search Algorithm and Alternating Heuristics

The paper dealts with a generalization of controlled random search algorithm where more heuristics generating a new trial point alternate. The CRS algorithhm with alternating heuristics was found to be more reliable than the single ...

BB - Aplikovaná statistika, operační výzkum

  • 2002
  • Jx
Result

A New Approach to Tuning Heuristic Parameters of Genetic Algorithms

The heuristic inspiration of genetic algorithms entails their dependence on many heuristic parameters. For the algorithm to work properly, those parameters need to be empirically tuned. If the values of the objective function

IN - Informatika

  • 2006
  • Jx
Result

Competing Heuristics-Experimental Study

with competing heuristics in dependence on several factors like the number of heuristics on. Thirty six heuristics were implemented and their role in the evolutionary process was investigated. The optimization experiments ...

BB - Aplikovaná statistika, operační výzkum

  • 2002
  • D
Result

Comparison of RPG-based FF and DTG-based FF Disrtibuted Heuristics

Distributed computation of heuristic functions has recently become a hot topic in multiagent planning. One of the classical heuristics most often adapted for distribution is the FF heuristic. In this paper we compa...

JC - Počítačový hardware a software

  • 2015
  • O
  • Link
Result

Controlled Random Search with Alternatig Heuristics

The paper deals with stochastic algorithms for the global optimization. The CRS algorithm with alternating heuristics was applied to searching for the global minimum of several test functions. The source code in Matlab is available ...

BB - Aplikovaná statistika, operační výzkum

  • 2001
  • D
Result

Evolutionary Heuristics vs. Standard Optimization Algorithms

The authors compare the reliability of their evolutionary heuristics in finding true global minimum of least squares objective function with the reliability of algorithms used in standard statistical software....

BB - Aplikovaná statistika, operační výzkum

  • 2000
  • D
Result

Heuristic function in decision making

JB - Senzory, čidla, měření a regulace

  • 1995
  • X
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