A tutorial on geometric programming

S Boyd, SJ Kim, L Vandenberghe, A Hassibi - Optimization and …, 2007 - Springer
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 …

A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems

BS Yıldız, S Kumar, N Panagant, P Mehta… - Knowledge-Based …, 2023 - Elsevier
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 …

A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems

AR Yıldız, BS Yıldız, SM Sait, S Bureerat… - Materials Testing, 2019 - degruyter.com
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 …

Force evaluation and machining parameter optimization in milling of aluminium burr composite based on response surface method

A Sharma, R Chaturvedi, K Sharma… - Advances in Materials …, 2022 - Taylor & Francis
ABSTRACT A significant measure for improving surface quality and workpiece 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 …

Parameter optimization of machining processes using teaching–learning-based optimization algorithm

PJ Pawar, RV Rao - The International Journal of Advanced Manufacturing …, 2013 - Springer
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 …

Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms

RV Rao, PJ Pawar - Applied soft computing, 2010 - Elsevier
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 …

NC end milling optimization using evolutionary computation

V Tandon, H El-Mounayri, H Kishawy - International Journal of Machine …, 2002 - Elsevier
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 …

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 …

[HTML][HTML] A new flower pollination algorithm with improved convergence and its application to engineering optimization

KM Ong, P Ong, CK Sia - Decision Analytics Journal, 2022 - Elsevier
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 …