Oversubscribed scheduling problems require removing tasks when enough resources are not available. Prior AI approaches have mostly been constructive or repairbased heuristic searc...
Laura Barbulescu, Adele E. Howe, L. Darrell Whitle...
Many of today’s embedded systems, such as wireless and portable devices rely heavily on the limited power supply. Therefore, energy efficiency becomes one of the major design con...
This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an unde...
Keith B. Matthews, Susan Craw, Stewart Elder, Alan...
Arrival sequencing and scheduling (ASS) at airports is an NP-hard problem. Much effort has been made to use permutation-representation-based genetic algorithms (GAs) to tackle this...
This paper deals with the load-balancing of machines in a real-world job-shop scheduling problem, with identical machines. The load-balancing algorithm allocates jobs, split into l...