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https://viurrspace.ca/bitstream/handle/10613/20339/May16-1888.pdf?sequence=2&isAllowed=y

https://viurrspace.ca/bitstream/handle/10613/20490/Dec06-1888.pdf?sequence=2&isAllowed=y

https://viurrspace.ca/bitstream/handle/10613/20360/Aug04-1888.pdf?sequence=2&isAllowed=y

https://viurrspace.ca/bitstream/handle/10613/15811/Apr03-1902.pdf?sequence=2

https://viurrspace.ca/bitstream/handle/10613/22231/Jul24-1880.pdf?sequence=2

https://viurrspace.ca/bitstream/handle/10613/20485/Dec27-1888.pdf?sequence=2&isAllowed=y

https://viurrspace.ca/bitstream/handle/10613/20459/Oct06-1888.pdf?sequence=2&isAllowed=y

Scheduling is a critical function that is present throughout many industries and applications. A great need exists for developing scheduling approaches that can be applied to a number of different scheduling problems with significant impact on performance of business organizations. A challenge is emerging in the design of scheduling support systems for manufacturing environments where dynamic adaptation and optimization become increasingly important. At this scenario, self-optimizing arise as the ability of the agent to monitor its state and performance and proactively tune itself to respond to environmental stimuli.

https://viurrspace.ca/bitstream/handle/10613/21465/Aug24-1892.pdf?sequence=2

https://viurrspace.ca/bitstream/handle/10613/13491/May10-1905.pdf?sequence=2