This paper proposes a new decision variable classification-based cooperative coevolutionary algorithm, which uses the information of classification to guide search process, for handling dynamic multiobjective problems. In particular, variables are divided into two groups: convergence (CS) and diversity (DS), different strategies introduced optimize these groups. Two kinds subpopulations used in...

The freedom of a decision is not yet sufficiently described as a psychological variable. We present a model of functional decision freedom that aims to fill that role. The model conceptualizes functional freedom as a capacity of people that varies depending on certain conditions of a decision episode. It denotes an inner capability to consciously shape complex decisions according to one's own v...

Binary Decision Diagrams (BDDs) have become the data structure of choice for representing discrete functions in some design and verification applications: They are compact and efficient to manipulate with strong theoretical underpinnings. However, and despite many appealing characteristics, BDDs are not a representation commonly considered for evolutionary computation (EC). The inherent difficu...

We identify the computational complexity of the satisfiability problem for FO, the fragment of first-order logic consisting of all relational first-order sentences with at most two distinct variables. Although this fragment was shown to be decidable a long time ago, the computational complexity of its decision problem has not been pinpointed so far. In 1975 Mortimer proved that FO has the finit...

Decision making in the presence of multiple and conflicting objectives requires preference from the decision maker. The decision maker’s preferences give rise to a domination structure. Till now, most of the research has been focussed on the standard domination structure based on the Pareto-domination principle. However, various real world applications like medical image registration, financial...

Societies provide institutions that are costly to set up, but able to enforce longrun relationships. We study the optimal decision problem of using self-governance for risk sharing or governance through enforcement provided by these institutions. Third-party enforcement is modelled as a costly technology that consumes resources, but permits the punishment of agents who deviate from ex-ante spec...

In subjects trained extensively to indicate a perceptual decision with an action, neural commands that generate the action can represent the process of forming the decision. However, it is unknown whether this representation requires overtraining or reflects a more general link between perceptual and motor processing. We examined how perceptual processing is represented in motor commands in nai...

Binary Decision Diagrams and Its Variable Ordering for Disjoint Network Manoj Singhal Associate professor, Department of Information Technology, Accurate Institute of Management & Technology, Greater Noida (U.P.), India, Email: [email protected] Girish Sharma Associate Professor, Department of Computer Applications, Bhai Parmanand Institute of Business Studies, New Delhi Email: gkps1...

The inclusion of internal noise in model observers is a common method to allow for quantitative comparisons between human and model observer performance in visual detection tasks. In this article, we studied two different strategies for inserting internal noise into Hotelling model observers. In the first strategy, internal noise was added to the output of individual channels: (a) Independent n...