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What is Neighborhood

Chapter 25
Handbook of Research on Natural Computing for Optimization Problems
The adjoined cells that affects the state of a particular cell in CA.
Published in Chapter:
Cellular Automata-Basics: Applications in Problem Solving
Simanti Bhattacharya (University of Kalyani, India) and Angshuman Bagchi (University of Kalyani, India)
Copyright: © 2016 |Pages: 18
DOI: 10.4018/978-1-5225-0058-2.ch025
Abstract
Cellular Automata (CAs) are spatially arranged systems, composed of units or cells having distinct information and all are under uniform condition. This system gradually progresses with time evolution based on the local information following a specific rule and achieves a configuration that reflects the global scenario. It very efficiently mimics large complex system, segmented into local units and hence makes the calculations easy. The local changes are integrated in a synchronized manner to give the final outcome with the essence of robustness associated with simple and uniform functions applied throughout. This has made CA to be successfully applied in various fields of scientific researches. This book chapter describes the fundamental properties of CA and its structures. Then it advances to the simple rule construction and local to global configuration. Finally it discusses the vast applicability of CA in different segments of science, specifically in the field of biological researches.
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Chapter 7
Causal Feature Selection
In graph theory, the neighborhood of a vertex V is the subgraph composed of all vertices adjacent to V.
Published in Chapter: Causal Feature Selection; From: Integration Challenges for Analytics, Business Intelligence, and Data Mining
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Chapter 11
Adaptive Principal Component Analysis-Based Outliers Detection Through Neighborhood Voting in Wireless Sensor Networks
A group of odd or even number of sensors, which share the same environment and communicate directly; they are not separated by walls or any other substantial obstacles.
Published in Chapter: Adaptive Principal Component Analysis-Based Outliers Detection Through Neighborhood Voting in Wireless Sensor Networks; From: Next-Generation Wireless Networks Meet Advanced Machine Learning Applications
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Chapter 8
Fostering Communities in Urban Multi-Cultural Neighbourhoods: Some Methodological Reflections
Urban Informatics for us apply on the local level of a neighborhood. Neighborhoods are fascinating as sociality in this context is not a matter of anonymity but of acquaintance. Place making as the socio-geographical process of local public interaction can be conducted by conflicts, which can only lead to a sustainable consensus if social integration is fostered on all levels within the socio-technical infrastructure.
Published in Chapter: Fostering Communities in Urban Multi-Cultural Neighbourhoods: Some Methodological Reflections; From: Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City
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Chapter 403
Experimental Analysis with Variable Neighborhood Search for Discrete Optimization Problems
Set of solutions close to a given initial solution that could be reached applying a s movement.
Published in Chapter: Experimental Analysis with Variable Neighborhood Search for Discrete Optimization Problems; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 21
Optimizing Society: The Social Impact Theory Based Optimizer
The set of cells that are considered to be sources of social influence. The social impact is computed purely from the neighboring cells. In this chapter, von Neumann and Moore neighborhood is considered. The more general neighborhood types can be time dependent or random.
Published in Chapter: Optimizing Society: The Social Impact Theory Based Optimizer; From: Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies
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Chapter 12
Integrating the Informal Sector for Improved Waste Management in Rural Communities
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Chapter 13
From “Oh My Gosh I'm Going to Get Mugged” to “See[ing] Them as People Who Are Just Like Me”
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Chapter 6
Connectivity Management in Drone Networks: Models, Algorithms, and Methods
For an arbitrary node, the set of surrounding nodes that it is directly connected to. A k -neighborhood may also include indirectly connected neighbors at most at its k -hop distance.
Published in Chapter: Connectivity Management in Drone Networks: Models, Algorithms, and Methods; From: Intelligent Analytics With Advanced Multi-Industry Applications
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