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A tutorial on geometric programming
A geometric program (GP) is a type of mathematical optimization problem characterized by
objective and constraint functions that have a special form. Recently developed solution …
objective and constraint functions that have a special form. Recently developed solution …
A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems
The present study aims to optimize the engineering design and manufacturing problems
with a novel hybrid optimizer named: AOA-NM (Arithmetic optimization-Nelder mead). To …
with a novel hybrid optimizer named: AOA-NM (Arithmetic optimization-Nelder mead). To …
A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
In this paper, a novel hybrid optimization algorithm (H-HHONM) which combines the Nelder-
Mead local search algorithm with the Harris hawks optimization algorithm is proposed for …
Mead local search algorithm with the Harris hawks optimization algorithm is proposed for …
Force evaluation and machining parameter optimization in milling of aluminium burr composite based on response surface method
ABSTRACT A significant measure for improving surface quality and workpiece machining
efficiency is an optimisation of cutting parameters in millings. To increase machining …
efficiency is an optimisation of cutting parameters in millings. To increase machining …
Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes
RQ Sardinas, MR Santana, EA Brindis - Engineering Applications of …, 2006 - Elsevier
Determination of optimal cutting parameters is one of the most important elements in any
process planning of metal parts. This paper presents a multi-objective optimization …
process planning of metal parts. This paper presents a multi-objective optimization …
Parameter optimization of machining processes using teaching–learning-based optimization algorithm
The optimum selection of process parameters plays a significant role to ensure quality of
product, to reduce the machining cost and to increase the productivity of any machining …
product, to reduce the machining cost and to increase the productivity of any machining …
Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms
The effective optimization of machining process parameters affects dramatically the cost and
production time of machined components as well as the quality of the final products. This …
production time of machined components as well as the quality of the final products. This …
NC end milling optimization using evolutionary computation
Typically, NC programmers generate tool paths for end milling using a computer-aided
process planner but manually schedule “conservative” cutting conditions. In this paper, a …
process planner but manually schedule “conservative” cutting conditions. In this paper, a …
Optimization of machining parameters using genetic algorithm and experimental validation for end-milling operations
P Palanisamy, I Rajendran… - The International Journal …, 2007 - Springer
Optimization of cutting parameters is valuable in terms of providing high precision and
efficient machining. Optimization of machining parameters for milling is an important step to …
efficient machining. Optimization of machining parameters for milling is an important step to …
[HTML][HTML] A new flower pollination algorithm with improved convergence and its application to engineering optimization
The flower pollination algorithm (FPA) is a nature-inspired optimization algorithm that mimics
the pollination behaviour of flowering plants. Despite the promising performance of FPA in …
the pollination behaviour of flowering plants. Despite the promising performance of FPA in …