This paper considers two problem classes that are important to researchers as well as practitioners, namely packing and project scheduling problems. First, the two problem categories are described. This includes a classification of packing problems as well as of project scheduling concepts....

This paper considers two problem classes that are important to researchers as well as practitioners, namely packing and project scheduling problems. First, the two problem categories are described. This includes a classification of packing problems as well as of project scheduling concepts....

We consider a generalization of the classical resource constrained project scheduling problem. We introduce so-called partially reiiewable resources by assuming for each resource a capacity on subsets of periods. The concept of partially renewable resources is a fundamental tool in order to make...

In project management, the project duration can often be compressed by accelerating some of its activities at an additional expense. This is the so-called time-cost tradeoff problem which has been extensively studied in the past. However, the discrete version of the problem which is of great...

For most computationally intractable problems there exists no heuristic that is equally effective on all instances. Rather, any given heuristic may do well on some instances but will do worse on others. Indeed, even the 'best' heuristics will be dominated by others on at least some subclasses of...

This paper introduces a new general framework for genetic algorithms to solve a broad range of optimization problems. When designing a genetic algorithm, there may be several alternatives for a component such as crossover, mutation or decoding procedure, and it may be difficult to determine the...