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 ...

Assistant Professor Robert MacCurdy and his collaborators have won the ACM SIGEVO Impact Award for their outstanding contributions in the field of genetic and evolutionary computation. The award ...

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

Biological computationalism suggests that to engineer genuinely mind-like systems, we may need to build new kinds of physical systems: machines whose computing is not layered neatly into software on ...

Biologists are closing in on a puzzle that seems to turn classic evolutionary logic inside out, yet may be so common that it deserves to be called a new rule of life. Instead of always purging harmful ...