heuristic algorithm - Definition. Was ist heuristic algorithm
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Was (wer) ist heuristic algorithm - definition

HIGHER-LEVEL PROCEDURE DESIGNED TO FIND, GENERATE OR SELECT A HEURISTIC
Meta heuristics; Meta-algorithm; Meta heuristic; Metaheuristics; Euristic Algorithm; Euharistic Algorithm; Meta-Heuristic Methods; Nature-inspired metaheuristics; Applications of metaheuristics

Heuristic         
PROBLEM-SOLVING METHOD THAT IS SUFFICIENT FOR QUICK, SHORT-TERM SOLUTIONS/APPROXIMATIONS
Heuristics; Hueristic; Heuristo; HEURISTIC; Heurisitc; Heuristically; Huristic; Heuristic Classification; Heuristics in legal decision-making; Formal models of heuristics; Heuristic device; Artificial intelligence heuristics
·adj Serving to discover or find out.
heuristic         
PROBLEM-SOLVING METHOD THAT IS SUFFICIENT FOR QUICK, SHORT-TERM SOLUTIONS/APPROXIMATIONS
Heuristics; Hueristic; Heuristo; HEURISTIC; Heurisitc; Heuristically; Huristic; Heuristic Classification; Heuristics in legal decision-making; Formal models of heuristics; Heuristic device; Artificial intelligence heuristics
1.
A heuristic method of learning involves discovery and problem-solving, using reasoning and past experience. (TECHNICAL)
ADJ
2.
A heuristic computer program uses rules based on previous experience in order to solve a problem, rather than using a mathematical procedure. (COMPUTING)
ADJ
see also algorithm
Heuristic         
PROBLEM-SOLVING METHOD THAT IS SUFFICIENT FOR QUICK, SHORT-TERM SOLUTIONS/APPROXIMATIONS
Heuristics; Hueristic; Heuristo; HEURISTIC; Heurisitc; Heuristically; Huristic; Heuristic Classification; Heuristics in legal decision-making; Formal models of heuristics; Heuristic device; Artificial intelligence heuristics
A heuristic (; ), or heuristic technique, is any approach to problem solving or self-discovery that employs a practical method that is not guaranteed to be optimal, perfect, or rational, but is nevertheless sufficient for reaching an immediate, short-term goal or approximation. Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution.

Wikipedia

Metaheuristic

In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem or a machine learning problem, especially with incomplete or imperfect information or limited computation capacity. Metaheuristics sample a subset of solutions which is otherwise too large to be completely enumerated or otherwise explored. Metaheuristics may make relatively few assumptions about the optimization problem being solved and so may be usable for a variety of problems.

Compared to optimization algorithms and iterative methods, metaheuristics do not guarantee that a globally optimal solution can be found on some class of problems. Many metaheuristics implement some form of stochastic optimization, so that the solution found is dependent on the set of random variables generated. In combinatorial optimization, by searching over a large set of feasible solutions, metaheuristics can often find good solutions with less computational effort than optimization algorithms, iterative methods, or simple heuristics. As such, they are useful approaches for optimization problems. Several books and survey papers have been published on the subject.

Most literature on metaheuristics is experimental in nature, describing empirical results based on computer experiments with the algorithms. But some formal theoretical results are also available, often on convergence and the possibility of finding the global optimum. Many metaheuristic methods have been published with claims of novelty and practical efficacy. While the field also features high-quality research, many of the publications have been of poor quality; flaws include vagueness, lack of conceptual elaboration, poor experiments, and ignorance of previous literature.