Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: IResearch Article Multiobjective Reinforcement Learning for Trafﬁc Signal Control Using Vehicular Ad Hoc Network
This book aims at attracting the interest of researchers and practitioners around the applicability of meta-heuristic algorithms to practical scenarios arising from different knowledge disciplines. Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficiently balance the tradeoff between optimality of the produced solutions and the complexity derived from their estimation.
The current control problems present natural trend of increasing its complexity due to
performance criteria that is becoming more sophisticated. The necessity of practicers
and engineers in dealing with complex dynamic systems has motivated the design of
controllers, whose structures are based on multiobjective constraints, knowledge from
expert, uncertainties, nonlinearities, parameters that vary with time, time delay
conditions, multivariable systems, and others.
The New Terms of Reference for Science for Governance: Postnormal Science
This chapter addresses the epistemological implications of complexity. In fact, according to what has been discussed so far, hard science, when operating within the reductionist paradigm, is not able to handle in a useful way the set of relevant perceptions and representations of the reality used by interacting agents, which are operating on different scales. No matter how complicated, individual mathematical models cannot be used to represent changes on a multi-scale, multiobjective performance space.