Interactive multiple objective optimization: survey l—continuous case
Computers and Operations Research
Journal of Computational Physics
Applying tabu search with influential diversification to multiprocessor scheduling
Computers and Operations Research - Special issue: heuristic, genetic and tabu search
Tabu Search
Selected papers from the First International Conference on Practice and Theory of Automated Timetabling
PATAT '97 Selected papers from the Second International Conference on Practice and Theory of Automated Timetabling II
Scheduling fixtures for basketball New Zealand
Computers and Operations Research
Problem formulation and solution for a real-world sports scheduling problem
AMCOS'05 Proceedings of the 4th WSEAS International Conference on Applied Mathematics and Computer Science
Deterministic helper-objective sequences applied to job-shop scheduling
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Helper-objective optimization strategies for the Job-Shop Scheduling Problem
Applied Soft Computing
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This paper reports on experiments with “subcost-guided” heuristic search processes for some modified school timetabling problems where several subobjectives are combined into a single overall objective. Subcost guidance is incorporated into two methods: a Simulated Annealing method and a Threshold Acceptance method. Significant improvements are achieved in both cases, especially for the hardest problem.