All Outputs (4)

Ant Colony Optimization for Optimal Control of Pumps in Water Distribution Networks (2008)
Journal Article
López-Ibáñez, M., Prasad, T. D., & Paechter, B. (2008). Ant Colony Optimization for Optimal Control of Pumps in Water Distribution Networks. Journal of Water Resources Planning and Management, 134, 337-346. https://doi.org/10.1061/%28ASCE%290733-9496%282008%29134%3A4%28337%29

Reducing energy consumption of water distribution networks has never had more significance than today. The greatest energy savings can be obtained by careful scheduling of operation of pumps. Schedules can be defined either implicitly, in terms of ot... Read More about Ant Colony Optimization for Optimal Control of Pumps in Water Distribution Networks.

Computing the State of Specknets: further analysis of an innate immune-inspired model. (2008)
Presentation / Conference Contribution
Davoudani, D., Hart, E., & Paechter, B. (2008). Computing the State of Specknets: further analysis of an innate immune-inspired model. In P. Bentley, D. Lee, & S. Jung (Eds.), Artificial Immune Systems, 7th International Conference, ICARIS 2008, Phuket, T

Specknets consist of hundreds of miniature devices, which are each capable of processing data and communicating wirelessly across short distances. Such networks, with their great complexity, pose considerable challenges for engineers due to the unrel... Read More about Computing the State of Specknets: further analysis of an innate immune-inspired model..

Boosting the Immune System (2008)
Presentation / Conference Contribution
McEwan, C., Hart, E., & Paechter, B. (2008). Boosting the Immune System. In Artificial Immune Systems (316-327). https://doi.org/10.1007/978-3-540-85072-4_28

Much of contemporary research in Artificial Immune Systems (AIS) has partitioned into either algorithmic machine learning and optimisation, or modelling biologically plausible dynamical systems, with little overlap between. Although the balance is la... Read More about Boosting the Immune System.

A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems (2008)
Presentation / Conference Contribution
Craenen, B. G. W., & Paechter, B. (2008). A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems. In Evolutionary Computation in Combinatorial Optimization (13-24). https://doi.org/10.1007/978-3-540-78604-7_2

This paper introduces a hybrid Tabu Search - Evolutionary Algorithm for solving the binary constraint satisfaction problem, called CTLEA. A continuation of an earlier introduced algorithm, called the STLEA, the CTLEA replaces the earlier compound lab... Read More about A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems.