Introduction: Special issue on constraint satisfaction techniques for planning and scheduling problems

Miguel A. Salido, Antonio Garrido, Roman Barták
2008 Engineering applications of artificial intelligence  
Preface The area of AI planning and scheduling has seen important advances thanks to the application of constraint satisfaction and optimization techniques. Efficient constraint handling is important for real-world problems in planning, scheduling, and resource allocation to competing goal activities over time in the presence of complex state-dependent constraints. Approaches to these problems must integrate resource allocation and plan synthesis capabilities. We need to manage complex problems
more » ... where planning, scheduling, and constraint satisfaction must be interrelated, which entail a great potential of application. The workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems, or COPLAS, aims at providing a forum for meeting and exchanging ideas and novel works in the field of AI planning, scheduling, and constraint satisfaction techniques, and the many relationships that exist among them. In fact, most of the accepted papers are based on combined approaches of constraint satisfaction for planning, scheduling, and mixing planning and scheduling. This makes the COPLAS workshop an attractive place for both researchers and practitioners (COPLAS is ranked as CORE B in ERA Conference Ranking).
doi:10.1016/j.engappai.2008.03.007 fatcat:7dv2wdwsmrednf7t6yltucr23y