Optimization of cutting parameters in multi-pass turning using artificial bee colony-based approach
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Summary
An optimization approach based on artificial bee colony algorithm for optimal selection of cutting parameters in multi-pass turning operations is presented and a comparison of evolutionary-based optimization techniques to solve multi- pass turning optimization problems is presented.
- Type
- article
- Published
- 2013-01-01
- Cited by
- 196
- References
- 45
- OpenAlex
- https://openalex.org/W2011911735
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10373250
Keywords
Machining, Selection (genetic algorithm), Computer science, Artificial bee colony algorithm, Mathematical optimization
References
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- A novel hybrid immune algorithm for global optimization in design and manufacturing
- Hybrid enhanced genetic algorithm to select optimal machining parameters in turning operation
- A modified Artificial Bee Colony algorithm for real-parameter optimization
- Optimization of machining conditions with practical constraints
- Topology Synthesis of Multicomponent Structural Assemblies in Continuum Domains
- A novel particle swarm optimization approach for product design and manufacturing
- A comparative study of population-based optimization algorithms for turning operations
- Optimization of multi-pass machining operations
- A generalized multi-pass machining model for machining parameter selection in turning
- A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops
- Determination of Optimum Machining Conditions—Deterministic and Probabilistic Approaches
- A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations
- Structural Design Optimization of Vehicle Components Using Cuckoo Search Algorithm
- Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing
- A STUDY OF ECONOMICAL MACHINING: AN ANALYSIS OF THE MAXIMUM-PROFIT CUTTING SPEED
- Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization
- A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems
- A new hybrid particle swarm optimization approach for structural design optimization in the automotive industry
Cited by
- Two-generation Pareto ant colony algorithm for multi-objective job shop scheduling problem with alternative process plans and unrelated parallel machines
- Quantifying Green Manufacturability of a Unit Production Process Using Simulation
- An ensemble of intelligent water drop algorithms and its application to optimization problems
- An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes
- An efficient design of CMOS comparator and folded cascode op-amp circuits using particle swarm optimization with an aging leader and challengers algorithm
- Teaching-learning-based optimization with learning experience of other learners and its application
- Dynamic optimization of multipass turning of a flexible workpiece considering the effect of cutting sequence
- Impact of spare parts remanufacturing on the operation and maintenance performance of offshore wind turbines: a multi-agent approach
- Efficient genetic algorithm for multi-objective robust optimization of machining parameters with taking into account uncertainties
- A branch-and-bound algorithm for a single machine sequencing to minimize the total tardiness with arbitrary release dates and position-dependent learning effects
- Performance analyses over population seeding techniques of the permutation-coded genetic algorithm: An empirical study based on traveling salesman problems
- An evolutionary membrane algorithm for global numerical optimization problems
- Optimum placement of active power conditioner in distribution systems using improved discrete firefly algorithm for power quality enhancement
- Prediction of drill flank wear using ensemble of co-evolutionary particle swarm optimization based-selective neural network ensembles
- Multiple Input Delays Estimation Using an Artificial Bee Colony Algorithm
- Diversity enhanced and local search accelerated gravitational search algorithm for data fitting with B-splines
- Optimal power flow using black-hole-based optimization approach
- A multi-objective genetic algorithm for solving cell formation problem using a fuzzy goal programming approach
- Ant algorithms with immigrants schemes for the dynamic vehicle routing problem
- An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems
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