Examples of 'metaheuristic' in a sentence
Meaning of "metaheuristic"
Metaheuristic is a computational noun referring to an algorithm or method designed to find solutions to optimization and search problems
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- An experimental heuristic method for solving a general class of computational problems by combining user procedures in the hope of obtaining a more efficient or robust procedure.
How to use "metaheuristic" in a sentence
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metaheuristic
The running of the metaheuristic is the same.
The metaheuristic algorithm is a genetic algorithm.
Experiments with the metaheuristic approaches.
The metaheuristic algorithm is for example a genetic algorithm.
Evolutionary computing techniques mostly involve metaheuristic optimization algorithms.
We restrain our metaheuristic study to local search algorithms.
This evaluation is included in a metaheuristic.
Metaheuristic approaches are often used.
It solves constraint satisfaction problems with construction heuristics and metaheuristic algorithms.
Metaheuristic methods broadly fall within stochastic optimisation methods.
We make several propositions including a hierarchical coupling between heuristic and metaheuristic.
Said metaheuristic method is chosen from the group formed by.
Our work applies the adaptative large neighborhood search metaheuristic on this problem.
Metaheuristic methods were applied to find out the optimized values of these parameters.
This paper presents a hybrid version of reactive grasp metaheuristic that incorporates a reinforcement learning agent.
See also
A metaheuristic achieves dynamicdispatch among gas turbines according to their individual characteristics.
The notable contribution of these new methodological elements is assessed within two different metaheuristic frameworks.
Tabu search metaheuristic is used to prevent the search from getting stuck in a local optimum.
The different components are embedded within a parallelized implementation of the GRASP metaheuristic.
Both components of a hybrid metaheuristic may run concurrently and exchange information to guide the search.
The tool relies on structural and biological properties of microRNAs and uses a Tabusearch metaheuristic.
The cost function used in metaheuristic methods takes account the error and the control signal.
The set of all routes is optimized by the Simulated Annealing metaheuristic.
Techniques which constitute metaheuristic algorithms range from simple local search procedures to complex learning processes.
This thesis is dedicated to developing effective hybrid metaheuristic algorithms for the MSCP and BCP.
The second metaheuristic approach proposed in this paper is based on the INS metaheuristic.
This thesis is devoted to developing effective metaheuristic algorithms for solving BQO and its applications.
This metaheuristic is assessed with artificial and real data sets issued from the PL field.
Reasonable amount of time, a metaheuristic solution.
Generally, a metaheuristic is a stochastics algorithm tending to reach a global optimum.
Results from the implementation of a metaheuristic method, preferably evolutionist.
In this context, our goal is to develop a dynamic optimization metaheuristic.
On Creativity and metaheuristic techniqueDaniel Serra.
Once reformulated, the problem will be solved by metaheuristic algorithms.
Hybrids of the metaheuristic methods described above ;.
Glover proposes tabu search, first mention of the term metaheuristic.
Well, it is the metaheuristic techniques which allow this to happen.
The modification to be made is preferably guided by a metaheuristic method, preferably evolutionist.
An example of a metaheuristic algorithm, and notably a genetic algorithm, will now be described.
Furthermore, a statistical analysis is conducted to calibrate the parameters of the metaheuristic approaches.
Section 3 presents the metaheuristic approaches proposed to solve the problem.
The algorithms had as base heuristic methods built in two phases, besides a metaheuristic.
An optimization is implemented by a metaheuristic method, preferably evolutionist, preferably by simulated annealing to,.
In addition to this integrated algorithm, the solution is improved within a simulated annealing metaheuristic.
It is based on the population metaheuristic algorithm, imitating the musical improvisation process.
A Multi-Objective Optimization model is suggested with a metaheuristic resolution.
Next, the metaheuristic algorithm is applied for determining new sets of adjustment parameters.
This search is preferably performed by means of a metaheuristic method, such as those described above.
A metaheuristic and an exact method ( Branch and cut algorithm ) are proposed to solve the CSAHLRP.
Table 3 shows the best results obtained by the metaheuristic approaches, grouped for each instance class.
