Reliable optimisation control of a reactive polymer composite moulding process using ant colony optimisation and bootstrap aggregated neural networks

Reliable Multi-Objective On-line Re-Optimisation Control of Batch Processes Based on Bootstrap Aggregated Neural Networks

The paper presents a reliable multi-objective re-optimisation control strategy for batch processes based on bootstrap aggregated neural networks. Bootstrap aggregated neural networks not only give better generalisation performance than single neural networks but also provide model prediction confidence bounds. In order to overcome the problem of unknown disturbances, on-line re-optimisation is ...

Niching for Ant Colony Optimisation

Evolutionary Computation niching methods, such as Fitness Sharing and Crowding, are aimed at simultaneously locating and maintaining multiple optima to increase search robustness, typically in multi-modal function optimization. Such methods have been shown to be useful for both single and multiple objective optimisation problems. Niching methods have been adapted in recent years for other optim...

Ant Colony Optimisation: Algorithms and Applications

Solving a unique Shortest Path problem using Ant Colony Optimisation

Ant Colony Optimisation (ACO) has in the past proved suitable to solve many optimisation problems. This research explores the ability of the ACO algorithm to balance two quality metrics (length and cost) in its decision making process. Results are given for a preliminary investigation based on a series of shortest path problems. It is concluded that, for these problems at least, the solution qu...

Model Checking the Ant Colony Optimisation

We present a model for the travelling salesman problem (TSP) solved using the ant colony optimisation (ACO), a bio-inspired mechanism that helps speed up the search for a solution and that can be applied to many other problems. The natural complexity of the TSP combined with the selforganisation and emergent behaviours that result from the application of the ACO make model-checking this system ...