Robert Ives's research while affiliated with University of Sussex and other places

Publications (6)

Chapter
Full-text available
This paper describes work on two different aspects of the application of genetic algorithms to component design. Namely structural design optimisation and the evolution of free-form 3D shapes. On the first aspect, a thorough comparison of ten different search techniques applied to a wing-box design optimisation problem is described. The techniques...
Article
This paper outlines a coevolutionary distributed genetic algorithm for tackling an integrated manufacturing planning and scheduling problem. In this multispecies ecosystems model, the genotype of each species represents a feasible manufacturing (process) plan for a particular component to be manufactured in the machine shop. Separate populations ev...
Article
. This paper describes a thorough comparison of ten different search techniques applied to a wing-box design optimisation problem. The techniques used vary from deterministic gradient descent to stochastic Simulated Annealing (SA) and Genetic Algorithms (GAs). The stochastic techniques produced as good solutions as the best found by the determinist...
Article
. This paper describes work on two different aspects of the application of genetic algorithms to component design. Namely structural design optimisation and the evolution of free-form 3D shapes. On the first aspect, a thorough comparison of ten different search techniques applied to a wing-box design optimisation problem is described. The technique...
Conference Paper
Full-text available
We describe a comparison between Simulated Annealing (SA), Dispatch Rules (DR), and a Coevolutionary Distributed Genetic Algorithm (DGA) solving a random sample of integrated planning and scheduling (IPS) problems. We found that for a wide range of optimization criteria the DGA consistently outperformed SA and DR. The DGA finds 8–9 unique high qual...

Citations

... Husbands et al. [39] used an interactive evolutionary approach to design 3D objects with a superquadrics [2] formula similar to the shape representation used here. The genetic algorithm (GA) [34] used a directed graph encoded as bitstrings that were translated into a valid geometry. ...
... In [32] the function φ is defined as the worst case scenario in a neighbourhood U( ) where is called the regularisation parameter. This approach can also be found in [33][34][35][36] and can be generalised, as in Eq. (17.5), to include the whole uncertainty space. In this case the value φ is the global worst case scenario. ...
... One of the aspects of concurrent engineering is the integrated process planning (in terms of the optimal selection of a process plan) and scheduling of a product. Husbands [141] and McIlhaga et al. [142] proposed an EA-based method for the simultaneous determination of planning and scheduling in a vehicle manufacturing company. They used a distributed genetic algorithm (DGA) [143] approach with a diploid chromosome representation that defined both the sequencing of operations and the use of alternative machines. ...
... Husbands et al. [39] used an interactive evolutionary approach to design 3D objects with a superquadrics [2] formula similar to the shape representation used here. The genetic algorithm (GA) [34] used a directed graph encoded as bitstrings that were translated into a valid geometry. ...
... Previous applications of genetic algorithms in the optimization of composites designs include laminate stacking sequence of several plates under buckling and strength constraints [8] and stiffened panels [28] and wingbox structures. For the latter, McIhagga et al. [29] compared different search schemes against genetic algorithms. Wan et al. [30] performed aeroelastic tailoring to minimize the wingbox skin weight. ...
... A particular feasible plan and its corresponding schedule are then selected either automatically or interactively by the user who will carry out the plan. Many authors (78910, among others) exploit this general approach to iteratively schedule jobs, one after the other. Because alternative process plans are designed without any reference to real time shop status, the main drawback of this general approach is related to the possible large number of process plan alternatives needed to produce efficient operations schedules. ...