Results 71 to 80 of about 4,989 (215)
IEEE AccessUncrewed aerial vehicle (UAV) path planning in complex environments requires more waypoints to generate high-quality flight paths. However, increasing waypoint density significantly raises computational complexity and risks slow convergence or entrapment
Xuzhao Chai +6 more
doaj +1 more source
Research on Three‐Dimensional Autonomous Obstacle Avoidance Path Planning Methods for UAVs
Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 2, February 2026.This study presents a three‐dimensional autonomous obstacle‐avoidance path planning method for unmanned aerial vehicles (UAVs) based on a deep reinforcement learning (DRL)‐enhanced Mayfly Algorithm. The traditional Mayfly Algorithm suffers from issues such as random initial population generation and slow convergence.
Chong Wu, Hao Cheng, Hua Wang
wiley +1 more source
A hybrid artificial bee colony algorithm for numerical function optimization
, 2011 Artificial Bee Colony (ABC) algorithm is one of the most recent swarm intelligence algorithms which used for problem optimization. This paper presents a Hybrid Artificial Bee Colony algorithm (HABC), in which the crossover operator of Genetic Algorithm ...
Zou WP(邹文平) +2 more
core
Improved multi-objective artificial bee colony algorithm for optimal power flow problem [PDF]
, 2014 The artificial bee colony (ABC) algorithm is improved to construct a hybrid multi-objective ABC algorithm, called HMOABC, for resolving optimal power flow (OPF) problem by simultaneously optimizing three conflicting objectives of OPF, instead of ...
Zhu YL(朱云龙) +3 more
core
An enhanced hybridized artificial bee colony algorithm for optimization problems
, 2019 Artificial bee colony (ABC) algorithm is a popular swarm intelligence based algorithm. Although it has been proven to be competitive to other population-based algorithms, there still exist some problems it cannot solve very well.
Xu Wang +7 more
core +1 more source
Optimization of Benchmark Functions Using Artificial Bee Colony (ABC) Algorithm
IOSR Journal of Engineering, 2013 The Artificial Bee Colony (ABC) algorithm is one of most popular stochastic, swarm based algorithm proposed by Karaboga in 2005 inspired from the foraging behaviour of honey bees. ABC has been applied to solve several problems in various fields and also many researchers have attempted to improve ABC's performance by making some modifications.
openaire +1 more source
Artificial Bee Colony (ABC) algorithm in the design optimization of RC continuous beams
Structural and Multidisciplinary Optimization, 2013 The objective of this study is to obtain the optimum design for reinforced concrete continuous beams in terms of cross section dimensions and reinforcement details using a fine tuned Artificial Bee Colony (ABC) Algorithm while still satisfying the constraints of the ACI Code (2008).
M. M. Jahjouh +2 more
openaire +3 more sources
Polish Maritime Research, 2017 The multi-autonomous underwater vehicle (AUV) distributed task allocation model of a contract net, which introduces an equilibrium coefficient, has been established to solve the multi-AUV distributed task allocation problem.
Li Jianjun, Zhang Ru Bo
doaj +1 more source
Optimal reconstruction and compression of signals and images by Hahn moments and artificial bee Colony (ABC) algorithm. [PDF]
Multimed Tools Appl, 2022 Bencherqui A +5 more
europepmc +1 more source
IEEE Access, 2015 Gait pattern performance is a very important issue in the field of humanoid robots, and more and more researchers are now engaged in such studies. However, the tuning processes of the parameters or postures are very tedious and time-consuming.
Tzuu-Hseng S. Li +4 more
doaj +1 more source