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Job Shop Scheduling (JSS) is a complex real-world problem aiming to optimise a measure of delivery speed or customer satisfaction by determining a schedule for processing jobs on machines. A major disadvantage of using a dispatching rule (DR) approach to solving JSS problems is their lack of a global perspective of the current and potential future state of(More)
A novel series of diaryl bicyclic azole-amines that are potent selective negative modulators of metabotropic glutamate receptor 5 (mGluR5) were identified through rational design. An initial hit compound 5a of modest potency (IC(50) = 1.2 μM) was synthesized. Evaluation of structure-activity relationships (SAR) on the left-hand side of the molecule revealed(More)
As a label-free technology, mass spectrometry (MS) enables assays to be generated that monitor the conversion of substrates with native sequences to products without the requirement for substrate modifications or indirect detection methods. Although traditional liquid chromatography (LC)-MS methods are relatively slow for a high-throughput screening (HTS)(More)
This work investigates the use of sampling methods in Genetic Programming (GP) to improve the classification accuracy in binary classification problems in which the datasets have a class imbalance. Class imbalance occurs when there are more data instances in one class than the other. As a consequence of this imbalance, when overall classification rate is(More)
Heuristic dispatching rules are one of the most popular and widely used methods of scheduling in dynamic job shop environments. The manual development of such dispatching rules is time consuming and requires substantial knowledge of the domain. There have been numerous works into using genetic programming (GP) as a framework for the automated generation of(More)