Efficient constrained synthesis of path generating four-bar mechanisms based on the heuristic optimization algorithms

S Ebrahimi, P Payvandy - Mechanism and Machine Theory, 2015 - Elsevier
This paper presents a comparative study of the dimensional synthesis of the path generating
four-bar mechanisms using some heuristic optimization techniques. For this purpose, we …

Shear modulus prediction of embedded pressurized salt layers and pinpointing zones at risk of casing collapse in oil and gas wells

S Rashidi, N Mohamadian, H Ghorbani… - Journal of Applied …, 2020 - Elsevier
Rock shear and strain behaviors deep in the sub-surface are dependent on several
geomechanical variables. These include various types of stress and rock formation moduli …

Mixed Static and Dynamic Optimization of Four‐Parameter Functionally Graded Completely Doubly Curved and Degenerate Shells and Panels Using GDQ Method

F Tornabene, A Ceruti - Mathematical Problems in Engineering, 2013 - Wiley Online Library
This study deals with a mixed static and dynamic optimization of four‐parameter functionally
graded material (FGM) doubly curved shells and panels. The two constituent functionally …

Locating of probabilistic leakage areas in water distribution networks by a calibration method using the imperialist competitive algorithm

R Moasheri, M Jalili-Ghazizadeh - Water Resources Management, 2020 - Springer
Leakages in water distribution networks (WDNs), in addition to water loss, causes more
problems such as water pollution and land subsidence. In this paper, a new method is …

An improved imperialist competitive algorithm for multi-objective optimization

N Bilel, N Mohamed, A Zouhaier… - Engineering Optimization, 2016 - Taylor & Francis
This article proposes an improved imperialistic competitive algorithm to solve multi-objective
optimization problems. The proposed multi-objective imperialistic competitive algorithm …

Prediction of bubble point pressure using new hybrid computational intelligence models

M Naveshki, A Naghiei, P Soltani Tehrani… - Journal of Chemical …, 2021 - jchpe.ut.ac.ir
Determining BPP is one of the critical parameters for the development of oil and gas
reservoirs and have this parameter requires a lot of time and money. As a result, this study …

SMART reactor core design optimization based on FCM fuel

S Kamalpour, H Khalafi - Nuclear Engineering and Design, 2021 - Elsevier
Fully ceramic microencapsulated (FCM) fuel is originally proposed for replacement in light
water reactors (LWRs) to enhance thermal hydraulic performance and reactor safety …

Computational intelligence approaches for estimating the unconfined compressive strength of rocks

MR Kaloop, A Bardhan, P Samui, JW Hu… - Arabian Journal of …, 2023 - Springer
The unconfined compressive strength (UCS) of rocks is one of the most important properties
used in rock science and engineering practices. Thus, many researchers attempt to develop …

Prediction of environmental indicators in land leveling using artificial intelligence techniques

I Alzoubi, S Almaliki, F Mirzaei - Chemical and Biological Technologies in …, 2019 - Springer
Background Land leveling is one of the most important steps in soil preparation and
cultivation. Although land leveling with machines require considerable amount of energy, it …

[PDF][PDF] Virtual machine placement in cloud using artificial bee colony and imperialist competitive algorithm

SM Javadi-Moghaddam, Z Dehghani - Int J Electr Comput Eng, 2023 - academia.edu
Increasing resource efficiency and reducing energy consumption are significant challenges
in cloud environments. Placing virtual machines is essential in improving cloud systems' …