Improved artificial bee colony algorithm-based path planning of unmanned autonomous helicopter using multi-strategy evolutionary learning

Z Han, M Chen, S Shao, Q Wu - Aerospace Science and Technology, 2022 - Elsevier
Aiming at producing a high-quality flight path for the unmanned autonomous helicopter with
multi-constraints, a path planning method is proposed based on the multi-strategy …

Hybrid artificial electric field employing cuckoo search algorithm with refraction learning for engineering optimization problems

OR Adegboye, E Deniz Ülker - Scientific Reports, 2023 - nature.com
Due to its low dependency on the control parameters and straightforward operations, the
Artificial Electric Field Algorithm (AEFA) has drawn much interest; yet, it still has slow …

Artificial bee colony algorithm with efficient search strategy based on random neighborhood structure

T Ye, W Wang, H Wang, Z Cui, Y Wang, J Zhao… - Knowledge-Based …, 2022 - Elsevier
As a popular swarm intelligence algorithm, artificial bee colony (ABC) achieves excellent
optimization performance, but it has some shortcomings. In order to strengthen the …

Artificial bee colony based on adaptive search strategy and random grouping mechanism

T Zeng, W Wang, H Wang, Z Cui, F Wang… - Expert Systems with …, 2022 - Elsevier
As a popular global optimization algorithm, artificial bee colony (ABC) has strong search
ability and simple concept. However, ABC has some deficiencies. The exploitation ability of …

A reinforcement learning based artificial bee colony algorithm with application in robot path planning

Y Cui, W Hu, A Rahmani - Expert Systems with Applications, 2022 - Elsevier
Artificial bee colony (ABC) algorithm is a popular optimization algorithm with excellent
exploration ability and various applications. Nevertheless, its effectiveness is limited by the …

Directed Artificial Bee Colony algorithm with revamped search strategy to solve global numerical optimization problems

K Thirugnanasambandam, M Rajeswari… - Automated Software …, 2022 - Springer
Abstract Artificial Bee Colony algorithm (ABC) is inspired by behavior of food foraging of
honeybees to solve the NP-Hard problems using optimization model which is one among …

A multi-agent reinforcement learning driven artificial bee colony algorithm with the central controller

F Zhao, Z Wang, L Wang, T Xu, N Zhu - Expert Systems with Applications, 2023 - Elsevier
The large-scale real value problem in continuous and discrete optimization problems is a
challenging issue for researchers and practitioners in the manufacturing domain. An …

Improved strength prediction of cemented paste backfill using a novel model based on adaptive neuro fuzzy inference system and artificial bee colony

C Qi, HB Ly, LM Le, X Yang, L Guo, BT Pham - Construction and Building …, 2021 - Elsevier
The cemented paste backfill (CPB) technology has matured as a promising way for tailings
recycling in the mining industry. Nevertheless, the current CPB design requires a large …

An artificial bee colony algorithm with a cumulative covariance matrix mechanism and its application in parameter optimization for hearing loss detection models

J Yang, X Xia, J Cui, YD Zhang - Expert Systems with Applications, 2023 - Elsevier
Artificial bee colony (ABC) algorithms which are applied to various complex problems for
their competitive performance and simple structures are a relatively popular paradigm of …

Artificial bee colony algorithm based on adaptive neighborhood topologies

X Zhou, Y Wu, M Zhong, M Wang - Information Sciences, 2022 - Elsevier
During the past few years, many neighborhood-based ABC variants have been developed
to utilize the valuable information of neighbors for guiding searches instead of using the best …