Currently, engineering design faces multiple complexity as it is very dependent on computer to ensure adequate modelling and simulation optimisation. This creates such problems and one of the root causes is the amount variables used by design engineers. To optimise a mechanical design by the means of distance or even shape, it needs to these handle large numbers of variables, and optimal solution is needed to for such systems. The motive of this dissertation is to utilize Particle Swarm Optimisation (PSO) algorithm on engineering design in the effort of improving design robustness and tolerance with manufacturing. Creating a PSO algorithm-based infrastructure integrating with the recommendation system will further enhance so...
Traditional engineering design optimisation which is the process of identifying the right combinatio...
The aim of this paper is to propose an improved particle swarm optimization (PSO) procedure for non-...
As there is a growing interest in applications of multi-objective optimization methods to real-world...
In this study we address existing deficiencies in the literature on applications of Particle Swarm O...
Many engineering optimization problems can be state as function optimization with constrained, intel...
Structural design optimization has become an extremely challenging and more complex task for most re...
Engineering optimization problems usually contain various constraints and mixed integer-discrete-con...
Nature inspired algorithms emerged for the use in automated engineering design optimisations.These a...
The purpose of this paper is to show how the search algorithm known as particle swarm optimization p...
A recent shift in optimisation research suggests two trends: one is associated with a move to multi-...
Modern engineering requires finding an optimal trade-off point among conflicting requirements that m...
A particle swarm optimization (PSO) based algorithm for finding the Pareto solutions of multiobjecti...
In many disciplines, the use of evolutionary algorithms to perform optimizations is limited because ...
In recent years, there have been increasing interests in using Component-Based System Development (C...
Particle swarm optimization (PSO) is an efficient optimization algorithm and has been applied to sol...
Traditional engineering design optimisation which is the process of identifying the right combinatio...
The aim of this paper is to propose an improved particle swarm optimization (PSO) procedure for non-...
As there is a growing interest in applications of multi-objective optimization methods to real-world...
In this study we address existing deficiencies in the literature on applications of Particle Swarm O...
Many engineering optimization problems can be state as function optimization with constrained, intel...
Structural design optimization has become an extremely challenging and more complex task for most re...
Engineering optimization problems usually contain various constraints and mixed integer-discrete-con...
Nature inspired algorithms emerged for the use in automated engineering design optimisations.These a...
The purpose of this paper is to show how the search algorithm known as particle swarm optimization p...
A recent shift in optimisation research suggests two trends: one is associated with a move to multi-...
Modern engineering requires finding an optimal trade-off point among conflicting requirements that m...
A particle swarm optimization (PSO) based algorithm for finding the Pareto solutions of multiobjecti...
In many disciplines, the use of evolutionary algorithms to perform optimizations is limited because ...
In recent years, there have been increasing interests in using Component-Based System Development (C...
Particle swarm optimization (PSO) is an efficient optimization algorithm and has been applied to sol...
Traditional engineering design optimisation which is the process of identifying the right combinatio...
The aim of this paper is to propose an improved particle swarm optimization (PSO) procedure for non-...
As there is a growing interest in applications of multi-objective optimization methods to real-world...