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Grouped Bees Algorithm: A Grouped Version of the Bees Algorithm
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-85190-5_28openalex-snapshot
Multi-objective Environmental/Economic Dispatch Using the Bees Algorithm with Weighted Sum
inferredcites →https://doi.org/10.1007/s00521-015-1851-xopenalex-snapshot
A hybrid approach to artificial bee colony algorithm
inferredcites →https://doi.org/10.1007/s00521-016-2179-xopenalex-snapshot
A survey of biogeography-based optimization
inferredcites →https://doi.org/10.1007/s10462-011-9276-0openalex-snapshot
A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms
inferredcites →https://doi.org/10.1007/s10462-016-9476-8openalex-snapshot
The variants of the Bees Algorithm (BA): a survey
inferredcites →https://doi.org/10.1007/s10732-008-9080-4openalex-snapshot
A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization
inferredcites →https://doi.org/10.1007/s10898-007-9149-xopenalex-snapshot
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
inferredcites →https://doi.org/10.1007/s12206-013-0871-7openalex-snapshot
A hybrid controller based on CPG and ZMP for biped locomotion
inferredcites →https://doi.org/10.1016/b978-008045157-2/50081-xopenalex-snapshot
The Bees Algorithm — A Novel Tool for Complex Optimisation Problems
inferredcites →https://doi.org/10.1016/j.amc.2013.12.023openalex-snapshot
Co-evolving bee colonies by forager migration: A multi-swarm based Artificial Bee Colony algorithm for global search space
inferredcites →https://doi.org/10.1016/j.amc.2014.05.044openalex-snapshot
Enhanced comprehensive learning particle swarm optimization
inferredcites →https://doi.org/10.1016/j.asoc.2007.05.007openalex-snapshot
On the performance of artificial bee colony (ABC) algorithm
inferredcites →https://doi.org/10.1016/j.engappai.2014.07.012openalex-snapshot
Velocity based artificial bee colony algorithm for high dimensional continuous optimization problems
inferredcites →https://doi.org/10.1016/j.eswa.2014.06.005openalex-snapshot
Superior solution guided particle swarm optimization combined with local search techniques
inferredcites →https://doi.org/10.1016/j.swevo.2016.06.001openalex-snapshot
Computing with the collective intelligence of honey bees – A survey
inferredcites →https://doi.org/10.1021/ie990700gopenalex-snapshot
Ant Colony Approach to Continuous Function Optimization
inferredcites →https://doi.org/10.1049/iet-gtd.2012.0142openalex-snapshot
Cuckoo search algorithm for non‐convex economic dispatch
inferredcites →https://doi.org/10.1080/08839514.2014.904599openalex-snapshot
Cuckoo Search Algorithm for Optimization Problems—A Literature Review and its Applications
inferredcites →https://doi.org/10.1093/oso/9780195131581.001.0001openalex-snapshot
Swarm Intelligence
inferredcites →https://doi.org/10.1109/icciautom.2011.6356804openalex-snapshot
A closed-loop Central Pattern Generator approach to control NAO humanoid robots' walking
inferredcites →https://doi.org/10.1109/iecon.2010.5675114openalex-snapshot
PCB assembly optimisation using the Bees Algorithm enhanced with TRIZ operators
inferredcites →https://doi.org/10.1109/indin.2006.275855openalex-snapshot
Optimising Neural Networks for Identification of Wood Defects Using the Bees Algorithm
inferredcites →https://doi.org/10.1109/indin.2008.4618151openalex-snapshot
Learning the inverse kinematics of a robot manipulator using the Bees Algorithm
inferredcites →https://doi.org/10.1109/nabic.2009.5393690openalex-snapshot
Cuckoo Search via Lévy flights
inferredcites →https://doi.org/10.1109/sysose.2010.5544059openalex-snapshot
Using grid computing to accelerate optimization solution: A system of systems approach
inferredcites →https://doi.org/10.1109/tcyb.2013.2279802openalex-snapshot
A Scatter Learning Particle Swarm Optimization Algorithm for Multimodal Problems
inferredcites →https://doi.org/10.1109/tcyb.2014.2387067openalex-snapshot
Artificial Bee Colony Algorithm Based on Information Learning
inferredcites →https://doi.org/10.1109/tevc.2008.919004openalex-snapshot
Biogeography-Based Optimization
inferredcites →https://doi.org/10.1109/tlt.2010.29openalex-snapshot
Bees Algorithm for Construction of Multiple Test Forms in E-Testing
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
inferredcites →https://doi.org/10.1155/2014/704861openalex-snapshot
A Review on Particle Swarm Optimization Algorithm and Its Variants to Human Motion Tracking
inferredcites →https://doi.org/10.1155/2015/931256openalex-snapshot
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
inferredcites →https://doi.org/10.1177/0959651811422759openalex-snapshot
A modified bees algorithm and a statistics-based method for tuning its parameters
inferredcites →https://doi.org/10.1243/09544062jmes1494openalex-snapshot
The Bees Algorithm: Modelling foraging behaviour to solve continuous optimization problems
inferredcites →https://doi.org/10.13140/2.1.1110.3524openalex-snapshot
Deploying Fuzzy Logic in a Boxing Game
inferredcites →https://doi.org/10.1504/ijcaet.2009.022790openalex-snapshot
Optimisation of a fuzzy logic controller using the Bees Algorithm
inferredcites →https://doi.org/10.18564/jasss.1802openalex-snapshot
Agent-Based Modeling of Human-Induced Spread of Invasive Species in Agricultural Landscapes: Insights from the Potato Moth in Ecuador
inferredcites →https://doi.org/10.2528/pier11031709openalex-snapshot
MAGNETIC RESONANCE BRAIN IMAGE CLASSIFICATION BY AN IMPROVED ARTIFICIAL BEE COLONY ALGORITHM
inferredcites →https://doi.org/10.3182/20080706-5-kr-1001.01030openalex-snapshot
Dynamic Optimisation of Chemical Engineering Processes Using the Bees Algorithm
inferredcites →https://doi.org/10.3390/computers5020008openalex-snapshot
An Artificial Bee Colony-Based COPE Framework for Wireless Sensor Network
inferredcites →https://doi.org/10.3390/computers5020012openalex-snapshot
Optimization of Nano-Process Deposition Parameters Based on Gravitational Search Algorithm
inferredcites →https://doi.org/10.3390/computers5040024openalex-snapshot
Quantum Genetic Algorithms for Computer Scientists
inferredcites →https://doi.org/10.3390/computers6010005openalex-snapshot
Grouped Bees Algorithm: A Grouped Version of the Bees Algorithm
inferredcites →https://doi.org/10.3390/e13040841openalex-snapshot
Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach
inferredcites →https://doi.org/10.3390/insects4040646openalex-snapshot
Honey Bees Inspired Optimization Method: The Bees Algorithm
inferredcites →https://doi.org/10.5916/jkosme.2009.33.3.403openalex-snapshot
The Dynamic Allocated Bees Algorithms for Multi-objective Problem
inferredcites →https://doi.org/10.7551/mitpress/1290.001.0001openalex-snapshot
Ant Colony Optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A review of applied methods of optimization in steel structures
inferred← citeshttps://doi.org/10.1007/s10462-021-10015-1openalex-snapshot
Bee-inspired metaheuristics for global optimization: a performance comparison
inferred← citeshttps://doi.org/10.1007/s42452-019-1710-yopenalex-snapshot
Optimal design of solar–wind hybrid system-connected to the network with cost-saving approach and improved network reliability index
inferred← citeshttps://doi.org/10.1007/s42979-025-04033-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.nexres.2026.101873openalex-snapshot
Enhancing classification performance of quantitative structure-activity relationships model using advanced meta-heuristic optimization techniques
inferred← citeshttps://doi.org/10.1080/17509653.2019.1604190openalex-snapshot
Application of decision theory and bee-inspired method to railway system route optimization
inferred← citeshttps://doi.org/10.1109/access.2023.3340862openalex-snapshot
Bee System-Based Self Configurable Optimized Resource Allocation Technique in Device-to-Device (D2D) Communication Networks
inferred← citeshttps://doi.org/10.1109/jproc.2020.2977595openalex-snapshot
A Tutorial on Clique Problems in Communications and Signal Processing
inferred← citeshttps://doi.org/10.1134/s2070048222060047openalex-snapshot
Intelligent Local Search for an Optimal Control of Diabetic Population Dynamics
inferred← citeshttps://doi.org/10.1145/3520304.3529085openalex-snapshot
Application of nature inspired algorithms to multi-objective optimization of new generation network problem
inferred← citeshttps://doi.org/10.14569/ijacsa.2018.090510openalex-snapshot
Routing Optimization in WBAN using Bees Algorithm for Overcrowded Hajj Environment
inferred← citeshttps://doi.org/10.3389/fchem.2019.00485openalex-snapshot
Modified Particle Swarm Optimization Algorithms for the Generation of Stable Structures of Carbon Clusters, Cn (n = 3–6, 10)
inferred← citeshttps://doi.org/10.36930/40340513openalex-snapshot
The main challenges of adaptability of swarm intelligence algorithms
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