Expensive optimization problem (EOP) refers to the problem that requires expensive or even unaffordable costs to evaluate candidate solutions, which widely exist in many significant real-world ...

Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In ...

Object-Oriented Programming (OOP) is continuously gaining new domains of application. We'll study several important design and implementation issues in one new domain: parallel evolutionary algorithms ...

At present the only authored book that contains a complete overview of the field of evolutionary computing, treating all "dialects" and important algorithm variants, from GAs to MOEAs. Evolutionary ...