Sentence examples for population based search from inspiring English sources
Several traditional as well as population based search algorithms are available in literature for the solution of these problems.
These algorithms can be applied to any form of population based search, any representation, fitness function, crossover and mutation, provided they use tournament selection.
Differential Evolution (DE) and Genetic Algorithms (GA) are population based search algorithms that come under the category of evolutionary optimization techniques.
It is a population based search technique.
The model space is still huge, requiring a heuristic, population based search strategy.
Memetic Algorithms (MAs) is a denomination for a class of population based search strategy that has proven to be of extreme practical success in a variety of applications [6] [8], [29] [32].
Particle Swarm Optimization (PSO) as population based stochastic search algorithms was applied to obtain the optimal ANFIS model parameters.
Particle swarm optimization (PSO) is a population based stochastic search algorithm, proposed by Kennedy and Eberhart.
Among other successful approaches, a population based local search [ 44] and a population based genetic algorithm [ 14] were used with empirical energy functions.
The proposed algorithm involves the combination of a stochastic population based optimization technique and a pattern search based (Hooke Jeeves) method.
