نتایج جستجو برای: neighborhood function
تعداد نتایج: 1238558 فیلتر نتایج به سال:
CONTEXT The social environment may influence cognitive function in aging. However, to our knowledge, no studies have investigated whether specific genes modify this association. OBJECTIVE To examine whether the apolipoprotein E (APOE) ε4 allele modifies the association of neighborhood psychosocial hazards and cognitive function. DESIGN A cross-sectional analysis. SETTING The Baltimore Mem...
The local search with orthogonal design of experiment in its neighborhood determination (ODLS) outperforms the local search with the conventional neighborhood when the objective function includes noise. This models practical optimization problems that contains uncontrolled or unobserved variables. ODLS is robust and e cient since it shares all evaluations for direction determination of each var...
execution of every planned program in cities has different process. process involves inhabitant's preferences, capacity of area or neighborhood, scale of people participation. after these strategies plans will prepared and executors apply them. planning in city scale considering potentials of area and participation of people is very important stage to eliminate undesirable appearances of c...
Extended Abstract Introduction: Today cities are the main place of human life in the world. In addition to creating opportunities, they have confronted modern human beings with numerous threats. In many metropolises, quantitative growth has surpassed the quality of people’s lives. This has made an increasing number of social problems in general, and resulted in the emergence of crimes in parti...
The neighborhood has had a long history in Iranian urbanization. Since urban plans wereintroduced by the authorities to shape urban development in Iran half a century ago, the concept of Iranian traditional neighborhood has been neglected gradually. The concept of neighborhood has not found the appropriate status in urban design and planning yet. One of the main reasons is that academics, profe...
Clustering algorithms with deep neural network has attracted wide attention to scholars. A fuzzy K-means clustering algorithm model on adaptive loss function and entropy regularization (DFKM) is proposed by combining automatic encoder algorithm. Although it introduces improve the robustness of model, its segmentation effect not ideal for high noise. The research purpose this paper focus anti-no...
This paper adds evidence structure to standard models of belief, in the form of families of sets of worlds. We show how these more fine-grained models support natural actions of “evidence management”, ranging from update with external new information to internal rearrangement. We show how this perspective leads to new richer languages for existing neighborhood semantics for modal logic. Our mai...
In this paper we propose a general variable neighborhood search approach for the balanced location problem. Next to large shaking neighborhoods, the embedded variable neighborhood descent utilizes three neighborhood structures that focus on different solution aspects. By a computational study, we show that this VNS outperforms existing methods with respect to average solution quality and stabil...
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