Upcoming and Past Events

CODeM Meeting - 2 July 2013

Andy Mills will discuss a new problem in autonomous MCDM.

CODeM Meeting 28-05-2013

An intelligent Power Management System (PMS) of an autonomous system is required to ensure the best executable power schedule is constructed. Maszatul Mansor will discuss the strategies taken as well as the challenges faced while developing the core mechanism of this PMS as well as its complementary components.

CODeM Meeting 21-05-2013

Ratio of means, means of ratios or both? Ioannis Giagkiozis - mini-presentation (TBC).

CODeM Meeting 7-05-2013

In the next CODeM meeting Rajesh Kudikala will be presenting his PhD work on System Architecture Design of Engine Health Management (EHM) system using Multi-Criteria Optimization techniques and parameter sensitivity analysis.

CODeM Meeting 30-04-2013

In the upcoming lab meeting Ioannis Giagkiozis will be presenting Liger.

CODeM Meeting 23-04-2013

Presenter: Tatiana Alves Costa

PhD student in electrical engineering at UFMG (Universidade Federal de Minas Gerais). Brazil.
 
Supervisor: Professor Ricardo Hiroshi Caldeira Takahashi
Co-Supervisor: Patricia Pena
 
Presentation Abstract:
My PhD work proposes a new methodology to solve task scheduling problems in flexible manufacturing cells. 
 
This methodology is based in a combination between techniques of supervisory control of discrete-event dynamic systems and optimization techniques, specifically heuristics and metaheuristics methods.

CODeM Meeting 16-04-2013

Presenter: Rui Wang

 

Presentation Abstract:

Decomposition based approaches are known to perform well on many-objective problems when a suitable set of weights is provided.  However, providing a suitable set of weights a priori is difficult. This presentation firstly introduces some fundamental concepts of decomposition based approaches. Then, the motivation of using adaptive weights in decomposition based approaches is analyzed. Finally we propose a novel algorithm: preference-inspired co-evolutionary algorithm using weights (PICEA-w), which co-evolves a set of weights with the usual population of candidate solutions during the search process. The co-evolution enables suitable sets of weights to be constructed along the optimization process, thus guiding the candidate solutions toward the Pareto optimal front. Experimental results show PICEA-w performs better than algorithms embedded with random or uniform weights.

If interested in the presentation material, Rui Wang can be contacted at: This email address is being protected from spambots. You need JavaScript enabled to view it.

7th International Conference on Evolutionary Multi-Criterion Optimization (EMO'13)

EMO 2013 is the 7th International Conference on Evolutionary Multi-Criterion Optimization. EMO 2013 aims to build on the success of the 2011 meeting in Ouro Preto, Brazil, in bringing together the evolutionary multi-criterion optimization (EMO) and multiple criteria decision making (MCDM) communities, and will also stimulate a new focus on the application of EMO and MCDM research to help solve real problems in government, business and industry. For more information visit: EMO’13.

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