نتایج جستجو برای: binary whale optimization algorithm
تعداد نتایج: 1062051 فیلتر نتایج به سال:
The bio-inspired research field has evolved greatly in the last few years due to large number of novel proposed algorithms and their applications. sources inspiration for these are various, ranging from behavior groups animals properties various plants. One problem is lack one algorithm which can produce best global solution all types optimization problems. presented considers proposal a approa...
Artificial bee colony (ABC) algorithm, one of the swarm intelligence algorithms, has been proposed for continuous optimization, inspired intelligent behaviors of real honey bee colony. For the optimization problems having binary structured solution space, the basic ABC algorithm should be modified because its basic version is proposed for solving continuous optimization problems. In this study,...
abstract biometric access control is an automatic system that intelligently provides the access of special actions to predefined individuals. it may use one or more unique features of humans, like fingerprint, iris, gesture, 2d and 3d face images. 2d face image is one of the important features with useful and reliable information for recognition of individuals and systems based on this ...
Flow shop scheduling problem with missing operations is studied in this paper. Missing operations assumption refers to the fact that at least one job does not visit one machine in the production process. A mixed-binary integer programming model has been presented for this problem to minimize the makespan. The genetic algorithm (GA) and tabu search (TS) are used to deal with the optimization...
Here, we investigate the classical p-median location problem on a network in which the vertex weights and the distances between vertices are uncertain. We propose a programming model for the uncertain p-median location problem with tail value at risk objective. Then, we show that it is NP-hard. Therefore, a novel hybrid modified binary particle swarm optimization algorithm is presented to obtai...
A Pareto-Based Hybrid Whale Optimization Algorithm with Tabu Search for Multi-Objective Optimization
Data classification is a challenging problem. very sensitive to the noise and high dimensionality of data. Being able reduce model complexity can help improve accuracy performance. Therefore, in this research, we propose novel feature selection technique based on Binary Harris Hawks Optimizer with Time-Varying Scheme (BHHO-TVS). The proposed BHHO-TVS adopts time-varying transfer function that a...
Breast cancer is one of the most common cancer in the world. Early detection of cancers cause significantly reduce in morbidity rate and treatment costs. Mammography is a known effective diagnosis method of breast cancer. A way for mammography screening behavior identification is women's awareness evaluation for participating in mammography screening programs. Todays, intelligence systems could...
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