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Non-Systematic Weighted Satisfiability in Discrete Hopfield Neural Network Using Binary Artificial Bee Colony Optimization

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

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Logic programming on a neural network
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Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
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Honeybee swarms: how do scouts guide a swarm of uninformed bees?
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DisABC: A new artificial bee colony algorithm for binary optimization
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A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding
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A semi-autonomous particle swarm optimizer based on gradient information and diversity control for global optimization
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CCSA: Conscious Neighborhood-based Crow Search Algorithm for Solving Global Optimization Problems
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Binary Artificial Bee Colony optimization using bitwise operation
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.105181openalex-snapshot
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images
inferredcites →https://doi.org/10.1016/j.engappai.2021.104314openalex-snapshot
QANA: Quantum-based avian navigation optimizer algorithm
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An improved genetic algorithm for determining the optimal operation strategy of thermal energy storage tank in combined heat and power units
inferredcites →https://doi.org/10.1016/j.eswa.2019.113097openalex-snapshot
Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony
inferredcites →https://doi.org/10.1016/j.eswa.2020.113717openalex-snapshot
An effective binary artificial bee colony algorithm for maximum set k-covering problem
inferredcites →https://doi.org/10.1016/j.eswa.2021.114817openalex-snapshot
A binary artificial bee colony algorithm and its performance assessment
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Divergence of character and premature convergence: A survey of methodologies for promoting diversity in evolutionary optimization
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A modified scout bee for artificial bee colony algorithm and its performance on optimization problems
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Evaluating genetic algorithms through the approximability hierarchy
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A multi-objective discrete particle swarm optimization method for particle routing in distributed particle filters
inferredcites →https://doi.org/10.1016/j.swevo.2020.100671openalex-snapshot
A better balance in metaheuristic algorithms: Does it exist?
inferredcites →https://doi.org/10.1016/j.ymssp.2021.108767openalex-snapshot
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Parametric multi-objective energy and cost analysis in the life cycle of nearly zero energy buildings − an exhaustive search approach
inferredcites →https://doi.org/10.1080/00207160.2021.1939870openalex-snapshot
Major 2 Satisfiability Logic in Discrete Hopfield Neural Network
inferredcites →https://doi.org/10.1109/access.2020.2967787openalex-snapshot
An Artificial Bee Colony-Based Double Layered Neural Network Approach for Solving Quadratic Bi-Level Programming Problems
inferredcites →https://doi.org/10.1109/access.2021.3068998openalex-snapshot
Random Satisfiability: A Higher-Order Logical Approach in Discrete Hopfield Neural Network
inferredcites →https://doi.org/10.1109/access.2021.3117270openalex-snapshot
Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm
inferredcites →https://doi.org/10.1186/s13073-021-00845-7openalex-snapshot
Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer
inferredcites →https://doi.org/10.1371/journal.pone.0200738openalex-snapshot
Reinforcement learning for solution updating in Artificial Bee Colony
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A Hybrid of Artificial Bee Colony, Genetic Algorithm, and Neural Network for Diabetic Mellitus Diagnosing
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A Hybrid Artificial Bee Colony Algorithm for Flexible Job Shop Scheduling Problems
inferredcites →https://doi.org/10.17576/jsm-2020-4911-23openalex-snapshot
Novel Random k Satisfiability for in Hopfield Neural Network
inferredcites →https://doi.org/10.3390/a14010012openalex-snapshot
A Dynamic Clause Specific Initial Weight Assignment for Solving Satisfiability Problems Using Local Search
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Amazon Employees Resources Access Data Extraction via Clonal Selection Algorithm and Logic Mining Approach
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Discrete Mutation Hopfield Neural Network in Propositional Satisfiability
inferredcites →https://doi.org/10.3390/pr8050568openalex-snapshot
Election Algorithm for Random k Satisfiability in the Hopfield Neural Network
inferredcites →https://doi.org/10.3390/pr9081292openalex-snapshot
Novel Hopfield Neural Network Model with Election Algorithm for Random 3 Satisfiability
inferredcites →https://doi.org/10.3390/pr9122276openalex-snapshot
Migration-Based Moth-Flame Optimization Algorithm
inferredcites →https://doi.org/10.5815/ijmecs.2014.12.08openalex-snapshot
Nature-Inspired Swarm Intelligence and Its Applications

What points at this work

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

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Analysis of Horn 3-satisfiability logical structure in Hopfield neural network
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Exploring the efficacy of a supervised learning approach in 3 satisfiability reverse analysis method
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Artificial Bee Colony-Based Optimization for Public Electric Vehicle Charging Station Placement
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