Multiple colony bees algorithm for continuous spaces

Akpınar, Şener; Baykasoğlu, Adil

doi:10.1016/j.asoc.2014.08.063

Cited by 9 publications

(1 citation statement)

References 32 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study applies five continuous test functions that are frequently used in the literature to be the comparative benchmark of measured algorithms. The experiment involves the following five benchmark problems: B2, Griewank, Rosenbrock (Shelokar et al ), sphere (Akpinar and Baykasoglu ), and the Mackey‐Glass time series (Whitehead and Choate ) continuous test functions, which are defined in Table . In addition, the research for the retrieved time step (i.e., t ) ranged from 118 to 1,118 with the Mackey‐Glass time series function, from which 1,000 samples were generated randomly (Whitehead and Choate ).…”

Section: Experiments Resultsmentioning

confidence: 99%

Evolutionary Algorithm‐Based Radial Basis Function Neural Network Training for Industrial Personal Computer Sales Forecasting

Chen

Kuo

2015

Computational Intelligence

View full text Add to dashboard Cite

Forecasting is one of the crucial factors in applications because it ensures the effective allocation of capacity and proper amount of inventory. Because Box–Jenkins models using linear forecasting have their constraint to predict complexity in the real world, other nonlinear approaches are developed to conquer the challenge of nonlinear forecasting. With the same goal, we are proposing a hybrid of genetic algorithm and artificial immune system (HGAI) algorithm with radial basis function neural network learning for function approximation and further applying it to conduct an industrial personal computer sales forecasting exercise. In addition, five well‐known benchmark problems were used to evaluate the results in the experiment, and the newly proposed HGAI algorithm has returned better results than the Box–Jenkins models and other algorithms.

show abstract

Section: Experiments Resultsmentioning

confidence: 99%