This SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other. Since natural computing methods have been applied with great success in several application areas, a review concerning potential benefits and pitfalls for simulation studies is merited. The brief presents such an overview and combines it with an introduction to natural computing and selected major approaches, as well as with a concise treatment of general simulation-based optimization. As such, it is the first review which covers both the methodological background and recent application cases. The brief is intended to serve two purposes: First, it can be used to gain more information concerning natural computing, its major dialects, and their usage for simulation studies. It also covers the areas of multi-objective optimization and neuroevolution. While the latter is only seldom mentioned in connection with simulation studies, it is a powerful potential technique. Second, the reader is provided with an overview of several areas of simulation-based optimization which range from logistic problems to engineering tasks. Additionally, the brief focuses on the usage of surrogate and meta-models. The brief presents recent application examples.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Springer Nature
شماره انبار
com.springer.onix.9783030262150
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Computer simulation.
موضوع مستند نشده
Natural computation.
موضوع مستند نشده
Program transformation (Computer programming)
موضوع مستند نشده
Computer simulation.
موضوع مستند نشده
Natural computation.
موضوع مستند نشده
Program transformation (Computer programming)
رده بندی ديویی
شماره
006
.
3/8
ويراست
23
رده بندی کنگره
شماره رده
QA76
.
9
.
N37
نشانه اثر
M49
2020eb
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )