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

Skakovski et al., 2019 - Google Patents

An island-based differential evolution algorithm with the multi-size populations

Skakovski et al., 2019

Document ID
803921830178461578
Author
Skakovski A
Jędrzejowicz P
Publication year
Publication venue
Expert Systems with Applications

External Links

Snippet

Computational intelligence methods can provide high-quality solutions to a variety of complex optimization problems where exact analytical solutions are impossible to obtain within a reasonable time and other resources used. The article proposes a novel concept of …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • 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
    • 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
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • 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
    • 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
    • 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
    • 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
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30575Replication, distribution or synchronisation of data between databases or within a distributed database; Distributed database system architectures therefor
    • G06F17/30584Details of data partitioning, e.g. horizontal or vertical partitioning
    • 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
    • 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

Similar Documents

Publication Publication Date Title
Skakovski et al. An island-based differential evolution algorithm with the multi-size populations
Rahmani Hosseinabadi et al. Extended genetic algorithm for solving open-shop scheduling problem
Zhang et al. An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem
Avci et al. A multi-start iterated local search algorithm for the generalized quadratic multiple knapsack problem
Pan et al. Local search methods for the flowshop scheduling problem with flowtime minimization
Davidović et al. Bee colony optimization for scheduling independent tasks to identical processors
Wang et al. A discrete particle swarm optimization algorithm with self-adaptive diversity control for the permutation flowshop problem with blocking
Ɖurasević et al. Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment
El-Sherbiny et al. A hybrid particle swarm algorithm with artificial immune learning for solving the fixed charge transportation problem
Missaoui et al. A parameter-Less iterated greedy method for the hybrid flowshop scheduling problem with setup times and due date windows
Dong et al. Workflow scheduling based on deep reinforcement learning in the cloud environment
Zhang et al. An improved hybrid particle swarm optimization for multi-objective flexible job-shop scheduling problem
Zhang et al. An integer-coded differential evolution algorithm for simple assembly line balancing problem of type 2
Liu et al. An organizational evolutionary algorithm for numerical optimization
Kotinis Improving a multi-objective differential evolution optimizer using fuzzy adaptation and K-medoids clustering
Kommadath et al. Parallel computing strategies for sanitized teaching learning based optimization
Kedrin et al. Features of artificial bee colony based algorithm realization for parametric identification method of the interval discrete dynamic models
Shuvo et al. A hybrid metaheuristic method for solving resource constrained project scheduling problem
Dash et al. Optimizing distributed training on frontier for large language models
Liu et al. A new job shop scheduling method for remanufacturing systems using extended artificial bee colony algorithm
Wang et al. An improved group theory-based optimization algorithm for discounted 0-1 knapsack problem
CN113706285A (en) Credit card fraud detection method
Toutouh et al. Analyzing the components of distributed coevolutionary gan training
Karthikeyan et al. Solving flexible job-shop scheduling problem using hybrid particle swarm optimisation algorithm and data mining
Zhu et al. Smart-mDAG: An intelligent scheduling method for multi-DAG jobs