A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm

S Lalwani, S Singhal, R Kumar, N Gupta - Transactions on combinatorics, 2013 - toc.ui.ac.ir
Numerous problems encountered in real life cannot be actually formulated as a single
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …

An improved gravitational search algorithm for profit-oriented partial disassembly line balancing problem

Y Ren, D Yu, C Zhang, G Tian, L Meng… - International Journal of …, 2017 - Taylor & Francis
Disassembly is indispensable to recycle and remanufacture end-of-life products, and a
disassembly line-balancing problem (DLBP) is studied frequently. Recent research on …

A particle swarm optimization algorithm with neighborhood-based mutation for sequence-dependent disassembly line balancing problem

CB Kalayci, SM Gupta - The International Journal of Advanced …, 2013 - Springer
For environmentally conscious and sustainable manufacturing, manufacturers need to
incorporate product recovery by designing manufacturing systems to include reverse …

Robotic U-shaped assembly line balancing using particle swarm optimization

J Mukund Nilakantan… - Engineering Optimization, 2016 - Taylor & Francis
Automation in an assembly line can be achieved using robots. In robotic U-shaped
assembly line balancing (RUALB), robots are assigned to workstations to perform the …

Trends, features, and tests of common and recently introduced global optimization methods

A Younis, Z Dong - Engineering Optimization, 2010 - Taylor & Francis
Global optimization techniques have been used extensively due to their capability in
handling complex engineering problems. In addition to a number of well known global …

Mathematical modelling and a discrete cuckoo search particle swarm optimization algorithm for mixed model sequencing problem with interval task times

J Zhang, X Liu, B Zhang - Journal of Intelligent Manufacturing, 2024 - Springer
This paper addresses a sequencing problem with uncertain task times in mixed model
assembly lines. In this problem, task times are not known exactly but are given by intervals of …

A review of the current applications of genetic algorithms in mixed-model assembly line sequencing

OS Akgündüz, S Tunalı - International Journal of Production …, 2011 - Taylor & Francis
A mixed-model assembly line (MMAL) is a type of production line which is capable of
producing a variety of different product models simultaneously and continuously. The design …

The comparison of multi-objective particle swarm optimization and NSGA II algorithm: applications in centrifugal pumps

A Nourbakhsh, H Safikhani… - Engineering …, 2011 - Taylor & Francis
In the present study, multi-objective optimization of centrifugal pumps is performed in three
steps. In the first step, efficiency (η) and the required net positive suction head (NPSHr) in a …

Radial basis functional model for multi-objective sheet metal forming optimization

G Sun, G Li, Z Gong, G He, Q Li - Engineering Optimization, 2011 - Taylor & Francis
Fracture and wrinkling are two major defects in sheet metal forming and can be eliminated
via an appropriate drawbead design. This article proposes to adopt a multi-objective particle …

Multiproduct multiple-buyer single-vendor supply chain problem with stochastic demand, variable lead-time, and multi-chance constraint

AA Taleizadeh, STA Niaki, A Makui - Expert Systems with Applications, 2012 - Elsevier
In this paper, a multi-product multi-chance constraint joint single-vendor multi-buyers
inventory problem is considered in which the demand follows a uniform distribution, the lead …