Nothing Special   »   [go: up one dir, main page]

Kommadath et al., 2022 - Google Patents

Parallel computing strategies for sanitized teaching learning based optimization

Kommadath et al., 2022

Document ID
1911852401632878075
Author
Kommadath R
Maharana D
Sivadurgaprasad C
Kotecha P
Publication year
Publication venue
Journal of Computational Science

External Links

Snippet

Abstract Teaching-Learning-Based Optimization is a metaheuristic technique that imitates the knowledge transfer in a classroom. The competitive performance with other state-of-the- art metaheuristic algorithms, innate simplicity, and the requirement of only two user-defined …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/12Computer systems based on biological models using genetic models
    • G06N3/126Genetic algorithms, i.e. information processing using digital simulations of the genetic system
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/002Quantum computers, i.e. information processing by using quantum superposition, coherence, decoherence, entanglement, nonlocality, teleportation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems

Similar Documents

Publication Publication Date Title
Gong et al. Evolutionary multitasking with dynamic resource allocating strategy
Zhou et al. Learnable evolutionary search across heterogeneous problems via kernelized autoencoding
Stach et al. A divide and conquer method for learning large fuzzy cognitive maps
Zhan et al. A fast kriging-assisted evolutionary algorithm based on incremental learning
Deng et al. Objective space-based population generation to accelerate evolutionary algorithms for large-scale many-objective optimization
Xu et al. A review of opposition-based learning from 2005 to 2012
Kommadath et al. Parallel computing strategies for sanitized teaching learning based optimization
Dong et al. A distributed adaptive optimization spiking neural P system for approximately solving combinatorial optimization problems
Zhang et al. Evolutionary machine learning with minions: A case study in feature selection
Yu et al. Evolutionary fuzzy neural networks for hybrid financial prediction
CN114492814B (en) Method, device and medium for calculating energy of simulation target system based on quanta
Bhatt et al. Genetic algorithm applications on job shop scheduling problem: A review
Camero et al. Bayesian neural architecture search using a training-free performance metric
CN114492815B (en) Method, device and medium for calculating target system energy based on quantum chemistry
Bidlo On routine evolution of complex cellular automata
Zhao et al. What makes evolutionary multi-task optimization better: A comprehensive survey
Moghadam et al. An efficient genetic algorithm for flexible job-shop scheduling problem
Tynchenko et al. The parallel genetic algorithm for construction of technological objects neural network models
Kumar Efficient hierarchical hybrids parallel genetic algorithm for shortest path routing
Nugroho et al. Parallel implementation of genetic algorithm for searching optimal parameters of artificial neural networks
Lin et al. Multiobjective multitasking optimization with decomposition-based transfer selection
CN114512194A (en) Method and device for acquiring target system test state in quantum chemical simulation
Ballinas et al. Hybrid quantum genetic algorithm for the 0-1 knapsack problem in the IBM qiskit simulator
Diplock Building new spatial interaction models by using genetic programming and a supercomputer
He et al. A membrane-inspired algorithm with a memory mechanism for knapsack problems