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A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm
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 …
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
Disassembly is indispensable to recycle and remanufacture end-of-life products, and a
disassembly line-balancing problem (DLBP) is studied frequently. Recent research on …
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
For environmentally conscious and sustainable manufacturing, manufacturers need to
incorporate product recovery by designing manufacturing systems to include reverse …
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 …
assembly line balancing (RUALB), robots are assigned to workstations to perform the …
Trends, features, and tests of common and recently introduced global optimization methods
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 …
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 …
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 …
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 …
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
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 …
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
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 …
inventory problem is considered in which the demand follows a uniform distribution, the lead …