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Advances in Swarm Intelligence

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Cover of 'Advances in Swarm Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Swarm Intelligence Algorithms and Applications: An Experimental Survey
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    Chapter 2 Overview of Complex Intelligent System Reliability Technology
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    Chapter 3 The Swarm Hierarchical Control System
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    Chapter 4 Multi-Modal Honey Bee Foraging Optimizer for Weapon Target Assignment Problem
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    Chapter 5 A Dual-Strategy Contest Harmony Search Algorithm Based on Population State for the System Reliability-Redundancy Allocation Problems
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    Chapter 6 An Improved Fire Hawks Optimizer for Function Optimization
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    Chapter 7 Hybrid Artificial Ecosystem-Based Optimization Algorithm Solves Photovoltaic Models Parameter Identification Problem
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    Chapter 8 Improved Ant Colony Optimization Based Binary Search for Point Pattern Matching for Efficient Image Matching
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    Chapter 9 Hierarchical Heterogeneous Ant Colony Optimization Based Approach to Optimize File Similarity Searches Using ssDeep
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    Chapter 10 PSO with Local Search Using Personal Best Solution for Environments with Small Number of Particles
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    Chapter 11 Hybrid Algorithm Based on Phasor Particle Swarm Optimization and Bacterial Foraging Optimization
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    Chapter 12 Hybrid Algorithm Based on Phasor Particle Swarm Optimization and Firefly Algorithm
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    Chapter 13 Particle Swarm Optimizer Without Communications Among Particles
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    Chapter 14 An Atomic Retrospective Learning Bare Bone Particle Swarm Optimization
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    Chapter 15 A PSO-Based Product Design Tolerance Optimization Method Considering Product Robustness
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    Chapter 16 Competitive Learning and Dynamic Genetic Algorithms for Robust Layout Designs Under Uncertainties
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    Chapter 17 A Bilevel Genetic Algorithm for Global Optimization Problems
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    Chapter 18 Genetic Algorithm for Product Design Optimization: An Industrial Case Study of Halo Setting for Jewelry Design
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    Chapter 19 Quad-Criteria Task Scheduling in Multicores Based on NSGAIII
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    Chapter 20 An Improved NSGA-II for Solving Reentrant Flexible Assembly Job Shop Scheduling Problem
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    Chapter 21 Multi-objective Baby Search Algorithm
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    Chapter 22 A Memetic Algorithm for Solving the Robust Influence Problem on Directed Networks
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    Chapter 23 Adaptive Artificial Bee Colony Algorithm Considering Colony’s Memory
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    Chapter 24 An Improved Seagull Algorithm for Numerical Optimization Problem
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    Chapter 25 A Modified Gaining-Sharing Knowledge Algorithm Based on Dual-Population and Multi-operators for Unconstrained Optimization
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    Chapter 26 GEFWA: Gradient-Enhanced Fireworks Algorithm for Optimizing Convolutional Neural Networks
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    Chapter 27 Neural Architecture Search Based on Improved Brain Storm Optimization Algorithm
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    Chapter 28 Beam-GBAS for Multidimensional Knapsack Problems
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    Chapter 29 Brain Storm Optimization Integrated with Cooperative Coevolution for Large-Scale Constrained Optimization
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    Chapter 30 On the Privacy Issue of Evolutionary Biparty Multiobjective Optimization
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    Chapter 31 Dynamic Multi-modal Multi-objective Evolutionary Optimization Algorithm Based on Decomposition
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    Chapter 32 A WGAN-Based Generative Strategy in Evolutionary Multitasking for Multi-objective Optimization
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    Chapter 33 A Two-Stage Evolutionary Algorithm with Repair Strategy for Heat Component-Constrained Layout Optimization
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    Chapter 34 A Large-Scale Multi-objective Brain Storm Optimization Algorithm Based on Direction Vectors and Variance Analysis
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    Chapter 35 Modified Brain Storm Optimization Algorithm for Solving Multimodal Multiobjective Optimization Problems
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    Chapter 36 Balancing Measurement Efficiency, Test Diversity and Security for Item Selection in On-the-Fly Assembled Multistage Adaptive Testing via a Multi-objective Evolutionary Algorithm
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    Chapter 37 CCGSK-PSO: Constrained Multi-objective Particle Swarm Optimization Algorithm Based on Co-evolution and Gaining-Sharing Knowledge
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    Chapter 38 A Diversified Multi-objective Particle Swarm Optimization Algorithm for Unsupervised Band Selection of Hyperspectral Images
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    Chapter 39 Differential Evolution Using Special Sorting for Multimodal Multi-objective Optimization with Local Pareto Sets
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Title
Advances in Swarm Intelligence
Published by
Springer Nature Switzerland, August 2023
DOI 10.1007/978-3-031-36622-2
ISBNs
978-3-03-136621-5, 978-3-03-136622-2
Editors

Tan, Ying, Shi, Yuhui, Luo, Wenjian

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