School of Engineering and Information Technology


Shape Representation and Optimisation

Shape representation plays a key role in many applications such as image analysis, pattern recognition, computer graphics and computer aided animation [Ray and Khan]. A novel shape evolution scheme has been developed within the group. Two examples of such shape evolution are presented here in the context of wing morphing to aid existing research in flapping wing design.


Figure 4: Evolution of generated dragonfly-wing (thin) towards the target dragonfly-wing (thick) for matching.

Figure 5: Evolution of generated damselfly-wing (thin) towards the target damselfly-wing (thick) for matching.


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Other topics for Operations Research and Optimisation during 2012:

 Production Scheduling under Disruption
 DMEA: a direction-based multiobjective evolutionary algorithm
 Real-time Routing and Tracking Algorithms
 An Optimisation Framework for the Design of Underwater Vehicles
 Handling Equality Constraints in Evolutionary Optimisation
 Multi Objective Learning Classifier Systems Based Hyperheuristics for Modularised Fleet Mix Problem
 Inventory System with Transportation Disruption
 Ship Inventory Routing and Scheduling
 A Novel Repair Mechanism based on Most Probable Point of Failure
 Learning from Evolutionary Algorithm based Design Optimization of Axisymmetric Scramjet Inlets
 An Evolutionary Multi-objective Scenario- Based Approach for Stochastic Resource Investment Project Scheduling
 Grid-Based Heuristic for Two-Dimensional Packing Problems
 User- and Application-Centric Multihomed Flow Management
 Kangaroo: An Efficient Constraint-Based Local Search System Using Lazy Propagation
 Large Scale Optimisation
 GA for Constrained Optimisation
 Soft Operations Research and System Dynamics Modelling
 OR in Bioinformatics