Titlebook: Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach; Duc Truong Pham,Natalia Hartono Book 2023 The Editor(s)

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A Case Study with the BEE-Miner Algorithm: Defects on the Production Lineg predictions can cause different degrees of costs. Therefore, cost-sensitive classification algorithms are in demand in order to improve quality of the classification. In this study, rule-based cost sensitive BEE-miner algorithm which was developed by making use of Bees Algorithm and MEPAR-miner al

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An Application of the Bees Algorithm to Pulsating Hydroforming curves which can be obtained by performing a pulsating hydraulic bulge test. In this study, the input parameters of a pulsating hydraulic bulge test with titanium alloy sheets (Ti-6Al-4?V) are optimised using the Bees Algorithm (BA). The input parameters are amplitude and base pressure; bulge heigh

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Shape Recognition for Industrial Robot Manipulation with the Bees Algorithme fitting methods rely on geometric shape estimation or iterative procedures. They are often computationally complex and sensitive to algorithm parameterisation. This study tackles primitive fitting as a parameter optimisation problem, solving it using the Bees Algorithm. The performance of the Bees

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Bees Algorithm Models for the Identification and Measurement of Tool Wearnt new and robust competing techniques. Recently, bio-inspired algorithms have been identified in machine learning to find the optimal solutions of problems in production processes. In this framework, swarm intelligence, which is a subfield of artificial intelligence concerning the intelligent actio

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Global Optimisation for Point Cloud Registration with the Bees Algorithmthe most popular and one of the most effective algorithms for 3D registration at present. This algorithm uses singular value decomposition to obtain a least squares alignment of two point sets. As a greedy alignment procedure, Iterative Closest Point is liable to converge to sub-optimal solutions. I

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Automatic PID Tuning Toolkit Using the Multi-Objective Bees Algorithmields. While optimising the controller parameters, a multi-objective Bees Algorithm (MOBA) method was used to minimise the settling time, rise time, overshoot, and system error all at once. Simulations have been made on an example for the control of robotic systems used in the manufacturing area. As

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nocturia

Memory-Based Bees Algorithm with Lévy Flights for Multilevel Image Thresholding honey bees to copy the decision-making capability of the bees. Lévy flights are random processes that are based on a stable distribution called the Lévy distribution. The enhanced so-called Levy MBA (LMBA) is used to reduce the tunable parameters of the basic BA and MBA algorithms. It is tested for

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Α New Method to Generate the Initial Population of the Bees Algorithm for Robot Path Planning in a Sto generate the initial population of the Bees Algorithm. The proposed method is adopted with the Bees Algorithm to find the shortest collision-free path for a mobile robot in static environments. The environment is represented using a 2D configuration space method that includes the robot and statio