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A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471224561openalex-snapshot
Handbook of Wireless Networks and Mobile Computing
inferredcites →https://doi.org/10.1002/0471656895.ch7openalex-snapshot
Broadcasting and Activity Scheduling in AD HOC Networks
inferredcites →https://doi.org/10.1002/wcm.109openalex-snapshot
Forward‐node‐set‐based broadcast in clustered mobile ad hoc networks
inferredcites →https://doi.org/10.1007/3-540-45105-6_107openalex-snapshot
Selection Intensity in Asynchronous Cellular Evolutionary Algorithms
inferredcites →https://doi.org/10.1007/3-540-45356-3_3openalex-snapshot
Cellular Evolutionary Algorithms: Evaluating the Influence of Ratio
inferredcites →https://doi.org/10.1007/3-540-45712-7_58openalex-snapshot
Comparing Synchronous and Asynchronous Cellular Genetic Algorithms
inferredcites →https://doi.org/10.1007/978-0-387-36797-2openalex-snapshot
Evolutionary Algorithms for Solving Multi-Objective Problems
inferredcites →https://doi.org/10.1007/978-1-4615-4369-5openalex-snapshot
Efficient and Accurate Parallel Genetic Algorithms
inferredcites →https://doi.org/10.1007/978-1-4757-5184-0openalex-snapshot
Evolutionary Algorithms for Solving Multi-Objective Problems
inferredcites →https://doi.org/10.1007/978-3-540-30132-5_99openalex-snapshot
A Heuristic for Efficient Broadcasting in the Metropolitan Ad hoc Network
inferredcites →https://doi.org/10.1007/bf02950416openalex-snapshot
AHBP: An efficient broadcast protocol for mobile Ad hoc networks
inferredcites →https://doi.org/10.1007/bfb0056867openalex-snapshot
A spatial predator-prey approach to multi-objective optimization: A preliminary study
inferredcites →https://doi.org/10.1023/a:1013763825347openalex-snapshot
The Broadcast Storm Problem in a Mobile Ad Hoc Network
inferredcites →https://doi.org/10.1023/a:1014803900897openalex-snapshot
Improving flexibility and efficiency by adding parallelism to genetic algorithms
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/cec.2001.934292openalex-snapshot
MEA: a metapopulation evolutionary algorithm for multi-objective optimisation problems
inferredcites →https://doi.org/10.1109/icniconsmcl.2006.1openalex-snapshot
A Bandwidth-Efficient Broadcasting Protocol for Mobile Multi-hop Ad hoc Networks
inferredcites →https://doi.org/10.1109/tevc.2002.800880openalex-snapshot
Parallelism and evolutionary algorithms
inferredcites →https://doi.org/10.1109/tevc.2005.843751openalex-snapshot
The Exploration/Exploitation Tradeoff in Dynamic Cellular Genetic Algorithms
inferredcites →https://doi.org/10.1145/313451.313525openalex-snapshot
The broadcast storm problem in a mobile ad hoc network
inferredcites →https://doi.org/10.1145/346855.346865openalex-snapshot
Multicast tree construction and flooding in wireless ad hoc networks
inferredcites →https://doi.org/10.1145/513800.513825openalex-snapshot
Comparison of broadcasting techniques for mobile ad hoc networks
inferredcites →https://doi.org/10.1162/106365600568167openalex-snapshot
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
inferredcites →https://doi.org/10.1186/1475-925x-5-47openalex-snapshot
Edited by: Stephan Olariu, Albert Y Zomaya. from Old Dominion University, Norfolk, VA, USA, and University of Sidney, Sidney, Australia, respectively, Chapman & Hall/CRC, Boca Raton, FL, USA; 2006:679pp. 85 contributors, including the editors, from 17 countries
inferredcites →https://doi.org/10.1887/0750308958openalex-snapshot
Handbook of Evolutionary Computation
inferredcites →https://doi.org/10.5555/514151.514171openalex-snapshot
On the reduction of broadcast redundancy in mobile ad hoc networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/11732242_23openalex-snapshot
Optimal Broadcasting in Metropolitan MANETs Using Multiobjective Scatter Search
inferred← citeshttps://doi.org/10.1007/978-3-642-30607-5_7openalex-snapshot
Designing Smart Adaptive Flooding in MANET Using Evolutionary Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-662-45523-4_4openalex-snapshot
Optimizing AEDB Broadcasting Protocol with Parallel Multi-objective Cooperative Coevolutionary NSGA-II
inferred← citeshttps://doi.org/10.1007/s00500-015-1891-2openalex-snapshot
Parallel multi-objective metaheuristics for smart communications in vehicular networks
inferred← citeshttps://doi.org/10.1007/s10586-012-0220-0openalex-snapshot
Finding Scalable Configurations for AEDB Broadcasting Protocol using Multi-objective Evolutionary
inferred← citeshttps://doi.org/10.1007/s40860-016-0023-9openalex-snapshot
Intelligent probabilistic broadcasting in mobile ad hoc network: a PSO approach
inferred← citeshttps://doi.org/10.1016/j.asoc.2015.04.003openalex-snapshot
Finding a robust configuration for the AEDB information dissemination protocol for mobile ad hoc networks
inferred← citeshttps://doi.org/10.1016/j.swevo.2021.100960openalex-snapshot
Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/cec.2006.1688665openalex-snapshot
A Simple Cellular Genetic Algorithm for Continuous Optimization
inferred← citeshttps://doi.org/10.1109/icccn.2011.6005890openalex-snapshot
Optimization and Performance Analysis of the AEDB Broadcasting Algorithm
inferred← citeshttps://doi.org/10.1109/ipdpsw.2013.237openalex-snapshot
A Parallel Multi-objective Local Search for AEDB Protocol Tuning
inferred← citeshttps://doi.org/10.1109/pdp.2007.11openalex-snapshot
A Parallel Skeleton for the Strength Pareto Evolutionary Algorithm 2
inferred← citeshttps://doi.org/10.14569/ijacsa.2019.0100928openalex-snapshot
A Nested Genetic Algorithm for Mobile Ad-Hoc Network Optimization with Fuzzy Fitness
inferred← citeshttps://doi.org/10.1504/ijahuc.2014.065775openalex-snapshot
AEDB protocol tuning with a fast efficient parallel multi-objective local search
inferred← citeshttps://doi.org/10.1504/ijmheur.2015.071750openalex-snapshot
Metaheuristics for energy-efficient data routing in vehicular networks
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