Systematic and nonsystematic search strategies
Proceedings of the first international conference on Artificial intelligence planning systems
Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems
Artificial Intelligence - Special volume on constraint-based reasoning
Automating planning and scheduling of shuttle payload operations
Artificial Intelligence - Special issue on applications of artificial intelligence
Heuristics for cardinality constrained portfolio optimisation
Computers and Operations Research
A Taxonomy of Hybrid Metaheuristics
Journal of Heuristics
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The ore selection problem involves choosing a processing option for a number of mining blocks that maximises the expected payoff for a given level of financial risk. An innovative neighbourhood search heuristic is proposed for the ore selection problem. This iterative construction heuristic employs a stochastic demolition and reconstruction strategy. Computational experiments with this heuristic for two ore selection problem instances, one involving 2,500 blocks and the other involving 78,000 blocks, are given. These problem instances are made publicly available for use by future workers. Our computational experiments indicate that the proposed heuristic produces better quality solutions faster than a relay hybrid (constructive-simulated annealing) heuristic.