known to be NP-hard, heuristics have become a main research interest. Unfortunately, there has not been done much research …

In 1997 two papers_new applying the metaheuristics Tabu Search (TS) and Heuristic Concentration (HC) tothe p …

heuristics do better. In priority rule-based scheduling, attempts to remedy this have been made by combining simple priority …

an NP-hard problem, it is unlikely that optimum solutions can be computed for large instances. Thus, heuristics have … evaluate their heuristics on the basis of a best known lower bound, but it is unclear how good the performance really is. With …

individuals use simple rules of thumb (heuristics) to forecast the future inflation and output gap. We compare this model with the …

the use of metaheuristic algorithms. Metaheuristics benefit from different random-search and parallelization paradigms … that allows for extending metaheuristics through simulation to solve stochastic COPs. ‘Simheuristics' allow modelers for …-driven framework. These optimization-driven algorithms rely on the fact that efficient metaheuristics already exist for the …

or enhancement of metaheuristics like genetic algorithms. The increasingly problem‐oriented studies deal particularly …