4.6 Article

Hybrid Butterfly Optimization and Particle Swarm Optimization Algorithm-Based Constrained Multi-Objective Nonlinear Planetary Gearbox Optimization

Related references

Note: Only part of the references are listed.
Article Engineering, Multidisciplinary

Non-dominated Sorting Advanced Butterfly Optimization Algorithm for Multi-objective Problems

Sushmita Sharma et al.

Summary: This paper presents a method to solve multi-objective optimization problems using the Butterfly Optimization Algorithm (BOA). The BOA is improved and extended to tackle multi-objective problems. Experimental results show that the new MONSBOA algorithm outperforms other algorithms in solving various types of problems.

JOURNAL OF BIONIC ENGINEERING (2023)

Article Engineering, Mechanical

Multi-objective optimization with solution ranking for design of spur gear pair considering multiple failure modes

Yashanshu Dixit et al.

Summary: This paper focuses on adding L10 life as a constraint in the design optimization of spur gear pair, considering various tribological constraints such as micro-pitting, flank fracture, wear, scuffing, and scoring. Multiple objectives including weight, power loss, and heat treatment time are considered. The CRITIC method is used to select the best solution from the Pareto optimal solutions obtained through GA optimization.

TRIBOLOGY INTERNATIONAL (2023)

Article Chemistry, Multidisciplinary

An Improved Chaos Driven Hybrid Differential Evolutionand Butterfly Optimization Algorithm for Passive Target Localization Using TDOA Measurements

Maja Rosic et al.

Summary: This paper proposes an improved chaos-driven hybrid DE algorithm and BOA to solve the TDOA based passive target localization problem. The proposed algorithm incorporates the mechanisms of the BOA algorithm into the DE algorithm and employs chaos theory to adjust control parameter values. The statistical analysis shows that the proposed modifications improve the optimization performance of the ICDEBOA algorithm.

APPLIED SCIENCES-BASEL (2023)

Article Engineering, Mechanical

Optimization Design for the Planetary Gear Train of an Electric Vehicle under Uncertainties

Xiang Xu et al.

Summary: This study develops a multi-objective uncertainty optimization design framework for the planetary gear train of electric vehicles, considering the volume and transmission efficiency as optimization objectives and the manufacturing size, material, and load input as uncertainties. An improved non-dominated sorting genetic algorithm II and multi-criteria decision making method are used to obtain reliable optimization solutions and reduce failure risk.

ACTUATORS (2022)

Article Chemistry, Multidisciplinary

Multi-Objective Optimization of Planetary Gearbox with Adaptive Hybrid Particle Swarm Differential Evolution Algorithm

Milos Sedak et al.

Summary: This research addresses the constrained multi-objective nonlinear optimization problem of planetary gearboxes using a hybrid metaheuristic algorithm. The proposed algorithm successfully obtains solutions of the non-convex Pareto set for optimizing weight, efficiency, and preventing premature gear failure. Compared to other well-known algorithms, it shows improved optimization performance in obtaining Pareto solutions.

APPLIED SCIENCES-BASEL (2021)

Article Engineering, Multidisciplinary

A Multiobjective Optimization Analysis of Spur Gear Pair: The Profile Shift Factor Effect on Structure Design and Efficiency

Samya Belarhzal et al.

Summary: This paper conducted a multiobjective optimization using genetic algorithms to reduce the volume and transmission power loss of spur gears, while also studying the influence of the profile shift factor on the optimal structure fitness. The results showed that the compact structure design achieved through the optimization process had reasonable efficiency compared to standard gears under medium contact ratio.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

Article Chemistry, Multidisciplinary

Power System Reconfiguration in Distribution Network for Improving Reliability Using Genetic Algorithm and Particle Swarm Optimization

Omar Kahouli et al.

Summary: This study presents an optimal method for optimizing network reconfiguration problems in a power distribution system to improve reliability and reduce power losses. Mathematical formulations of objectives, constraints, and various optimization algorithms, such as exhaustive approach, genetic algorithm, and particle swarm optimization, are used. The results show that optimizing the distribution network using the PSO approach significantly improves reliability, node voltage, line currents, and calculation time.

APPLIED SCIENCES-BASEL (2021)

Article Engineering, Mechanical

Multi-objective optimal design of modification for helical gear

Cheng Wang

Summary: Gear modification is an effective technology to address vibration, noise, and uneven load distribution in gear transmission. By analyzing gear meshing contact, accurate performance data can be obtained, leading to optimization solutions for gear systems.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Review Engineering, Mechanical

Effects of lubrication on gear performance: A review

Heli Liu et al.

MECHANISM AND MACHINE THEORY (2020)

Article Engineering, Mechanical

Multi-objective optimization of a 2-stage spur gearbox using NSGA-II and decision-making methods

Edmund S. Maputi et al.

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING (2020)

Article Engineering, Mechanical

Macro geometry multi-objective optimization of planetary gearbox considering scuffing constraint

Abhishek Parmar et al.

MECHANISM AND MACHINE THEORY (2020)

Article Computer Science, Artificial Intelligence

Butterfly optimization algorithm: a novel approach for global optimization

Sankalap Arora et al.

SOFT COMPUTING (2019)

Article Engineering, Mechanical

A methodology for simulation-based, multiobjective gear design optimization

Alessio Artoni

MECHANISM AND MACHINE THEORY (2019)

Article Thermodynamics

Multi-objective optimization design of spur gear based on NSGA-II and decision making

Qizhi Yao

ADVANCES IN MECHANICAL ENGINEERING (2019)

Article Engineering, Mechanical

Multi-objective optimization of the two-stage helical gearbox with tribological constraints

Maruti Patil et al.

MECHANISM AND MACHINE THEORY (2019)

Article Computer Science, Artificial Intelligence

A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems

Caitong Yue et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)

Article Computer Science, Artificial Intelligence

Differential evolution mutation operators for constrained multi-objective optimization

Xiaobing Yu et al.

APPLIED SOFT COMPUTING (2018)

Article Computer Science, Artificial Intelligence

Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem

Jingfa Liu et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Article Automation & Control Systems

Differential Evolution-Based Multiobjective Optimization of the Electrical Continuously Variable Transmission System

Yuan Mao et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)

Article Computer Science, Information Systems

A competitive mechanism based multi-objective particle swarm optimizer with fast convergence

Xingyi Zhang et al.

INFORMATION SCIENCES (2018)

Article Engineering, Mechanical

Multi-objective spur gear pair optimization focused on volume and efficiency

Daniel Miler et al.

MECHANISM AND MACHINE THEORY (2018)

Article Automation & Control Systems

Adaptive mixed differential evolution algorithm for bi-objective tooth profile spur gear optimization

Hammoudi Abderazek et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2017)

Article Engineering, Mechanical

Influence of profile shift on the spur gear pair optimization

Daniel Miler et al.

MECHANISM AND MACHINE THEORY (2017)

Article Engineering, Mechanical

Planetary gear sets power loss modeling: Application to wind turbines

Charles Nutakor et al.

TRIBOLOGY INTERNATIONAL (2017)

Article Engineering, Mechanical

Efficiency of a planetary multiplier gearbox: Influence of operating conditions and gear oil formulation

Pedro M. T. Marques et al.

TRIBOLOGY INTERNATIONAL (2015)

Article Computer Science, Artificial Intelligence

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Joaquin Derrac et al.

SWARM AND EVOLUTIONARY COMPUTATION (2011)

Article Engineering, Mechanical

Prediction of mechanical efficiency of parallel-axis gear pairs

H. Xu et al.

JOURNAL OF MECHANICAL DESIGN (2007)

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)

Article Computer Science, Artificial Intelligence

Comparison of Multiobjective Evolutionary Algorithms: Empirical Results

Eckart Zitzler et al.

EVOLUTIONARY COMPUTATION (2000)