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Predominant Cognitive Learning Particle Swarm Optimization for Global Numerical Optimization

https://doi.org/10.3390/math10101620
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Outgoing claims: the papers this work cites, builds on, or argues with.

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A Taxonomy of Global Optimization Methods Based on Response Surfaces
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Multiple parents guided differential evolution for large scale optimization
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inferredcites →https://doi.org/10.1109/tevc.2018.2885075openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2020.3017865openalex-snapshot
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Convergence Rate Analysis of a Sequential Convex Programming Method with Line Search for a Class of Constrained Difference-of-Convex Optimization Problems
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Particle Swarm Optimization with Double Learning Patterns
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Problem Definitions and Evaluation Criteria for the CEC 2019 Special Session on Multimodal Multiobjective Optimization
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Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs
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Stochastic Cognitive Dominance Leading Particle Swarm Optimization for Multimodal Problems
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Stochastic Triad Topology Based Particle Swarm Optimization for Global Numerical Optimization
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An Adaptive Covariance Scaling Estimation of Distribution Algorithm
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Accelerating Stochastic Gradient Descent For Least Squares Regression
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Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates

What points at this work

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

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Research on Operation Optimization of Crude Oil Pipeline Based on PPSO Algorithm
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Heterogeneous cognitive learning particle swarm optimization for large-scale optimization problems
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A probabilistic tournament learning swarm optimizer for large-scale optimization
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Enhancement of Health Care Services Based on Cloud Computing in IOT Environment Using Hybrid Swarm Intelligence
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Gaussian Sampling Guided Differential Evolution Based on Elites for Global Optimization
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GA=PSO: Realizing Equivalent Particle Swarm Optimization by Genetic Algorithm
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A PSO-Based Maximum Efficiency Optimization for Wireless Power Transfer Systems with Class-E Power Amplifier
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Minimizing Power Loss in Distribution Networks by placing Electric Vehicle Charging Stations using Particle Swarm Optimization
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Population-Level Hybridization between Roulette Wheel Selection and Tournament Selection for Particle Swarm Optimization
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A Ranking Weight Based Roulette Wheel Selection Method for Comprehensive Learning Particle Swarm optimization
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Investigation of Adaptive Parameter Strategies for Differential Evolution
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Comparative Study on Different Types of Surrogate-Assisted Evolutionary Algorithms for High-Dimensional Expensive Problems
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Gender-Sensitive EEG Channel Selection for Emotion Recognition Using Enhanced Genetic Algorithm
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Automated Order Dispatching Strategies Design Using Genetic Programming for Dynamic Ridesharing Problem
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Binomial Distribution Assisted Individual Selection for Differential Evolution
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Investigation of Using Large-Scale Swarm Optimizers to Optimize Sub-Problems in Cooperative Co-Evolution
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Individual-Level Dominant Exemplar Selection for Particle Swarm Optimization
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Random Contrastive Interaction for Particle Swarm Optimization in High-Dimensional Environment
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Variation Encoded Large-Scale Swarm Optimizers for Path Planning of Unmanned Aerial Vehicle
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FBCA: Flexible Besiege and Conquer Algorithm for Multi-Layer Perceptron Optimization Problems
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An Extended Membrane System Based on Cell-like P Systems and Improved Particle Swarm Optimization for Image Segmentation
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Dual Elite Groups-Guided Differential Evolution for Global Numerical Optimization
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