The teaching-learning-based artificial bee colony (TLABC) is a new hybrid swarm-based
metaheuristic search algorithm. It combines the exploitation of the teaching learning-based …

Artificial bee colony (ABC) algorithm is a popular meta-heuristic optimization algorithm
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …

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 …

Most of the scientific and engineering problems are defined as constrained optimization
functions. It can be very difficult due to their complex structures. Artificial Bee Colony …

The ability to accurately estimate energy consumption in the medium and long term based
on actual indications is critical for countries to plan and prioritize their futures and take the …

This study aimed to develop a new adaptive artificial bee colony (A-ABC) algorithm that can
adaptively select an appropriate search equation to more accurately estimate transport …

Continuous real-valued optimization problems are existed in various engineering
optimization scenarios. The artificial bee colony algorithm (ABC) which is inspired by the …

Renewable energy will play a pivotal role in meeting future global energy demand. Of
current renewable sources, wave energy offers enormous potential for growth. This research …

Abstract Grey Wolf Optimizer (GWO) has been proposed recently. As GWO has superior
performance, it has been employed to solve various numerical and engineering issues …

Since artificial bee colony (ABC) algorithm, one of swarm intelligent algorithms, was
proposed, it has shown good superiority in addressing optimization problems, and has …