离散优化问题的启发式设计与实现，…

When designing and implementing heuristics for discrete optimization problems, there are many choices to be made. These include search paradigms, search mechanisms, search parameters, test sets, etc. Often these choices are treated as independent of each other, even though most researchers acknowledge some interdependence between the diff erent search mechanisms and associated para- meter settings. Our experience is that the search mechanisms and parameters often interact, and at times in unforeseen ways. This is a diffi cult problem to disentangle, and often even to discover.