Paper aims To do a comprehensive review of the exact and heuristic methods,
software/programming languages, constraints, and types of analysis (technical and …

All metaheuristic optimization algorithms require some initialization, and the initialization for
such optimizers is usually carried out randomly. However, initialization can have some …

Artificial bee colony (ABC) algorithm is a relatively new paradigm of swarm intelligence
based optimization technique, which has attracted a lot of attention for its simple structure …

Artificial bee colony (ABC) is a type of popular swarm intelligence optimization algorithm. It is
widely concerned because of its easy implementation, few parameters and strong global …

Flexible job shop scheduling has been widely researched due to its application in many
types of fields. However, constraints including setup time and transportation time should be …

Existing research mainly uses prior knowledge to set all fuzzy sets in a fuzzy system to the
same type. In data-driven fuzzy modeling, automatically determining the type of fuzzy set is …

As the spectral dimension of hyperspectral images increases, band selection becomes more
and more important when using hyperspectral data. Evolutionary algorithms have been …

In recent years, as an effective global optimization technique, artificial bee colony (ABC)
algorithm has attracted increasing attention for its good performance yet easy …

The fluctuation of agricultural commodity prices has attracted a considerable amount of
attention. However, the complexity of the agricultural futures market and the variability of …

Artificial bee colony (ABC) and differential evolution (DE) are the most powerful and
operative meta-heuristic algorithms inspired by the nature. Although both algorithms are …