- Intro
- Preface
- Organization
- Contents
- Applications of Evolutionary Computation
- An Enhanced Opposition-Based Evolutionary Feature Selection Approach
- 1 Introduction
- 2 Moth Flame Optimization
- 2.1 Binary Moth Flame Optimization
- 2.2 Binary Moth Flame Optimization for Feature Selection
- 3 The Proposed Approach
- 3.1 Initialization Using Opposition-Based Method
- 3.2 Retiring Flame
- 4 Experimental Setup and Results
- 5 Conclusions
- References
- A Methodology for Determining Ion Channels from Membrane Potential Neuronal Recordings
- 1 Introduction
- 2 Conductance-Based Model Description
- 3 Defining a Benchmark with Known Types of Ion Channels
- 4 Methodology and Experimental Setup
- 5 Experimental Results
- 6 Conclusions
- A Mathematical Description of the Models
- B Experimental Setup and Parameter Ranges
- References
- Swarm Optimised Few-View Binary Tomography
- 1 Introduction
- 2 Binary Tomographic Reconstruction
- 3 Swarm Optimisation
- 4 Constrained Search in High Dimensions
- 5 Reconstructions
- 6 Results
- 7 Discussion
- 8 Conclusions
- References
- Comparing Basin Hopping with Differential Evolution and Particle Swarm Optimization
- 1 Introduction
- 2 The Metaheuristics Studied
- 2.1 Basin Hopping
- 2.2 Differential Evolution
- 2.3 Particle Swarm Optimization
- 3 The Benchmarking Environment
- 4 Experimental Setup
- 5 Experimental Results
- 6 Conclusions
- References
- Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models
- 1 Introduction
- 2 Methodology
- 2.1 Structured Grammatical Evolution
- 2.2 Random Structured Grammatical Evolution for Symbolic Regression Problems
- 3 Experimental Setup
- 3.1 Study Problems
- 3.2 Configuration of the Algorithms
- 4 Results
- 5 Conclusions
- References
- EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python
- 1 Introduction
- 2 Related Works
- 3 Methodology
- 4 Framework Overview
- 4.1 Parameters
- 4.2 Datasets
- 4.3 Clustering with EvoCluster
- 4.4 Classification
- 4.5 Evaluation Measures
- 4.6 Results Management
- 5 Experiments and Visualizations
- 6 Conclusion and Future Works
- References
- Evolution of Acoustic Logic Gates in Granular Metamaterials
- 1 Introduction
- 2 Problem Statement
- 3 Simulation Setup
- 3.1 2D Granular Simulator
- 3.2 Optimization Method
- 4 Results and Discussion
- 4.1 Evolution of an Acoustic Band Gap
- 4.2 Evolving an AND Gate
- 4.3 Evolving an XOR Gate
- 5 Conclusion and Future Work
- References
- Public-Private Partnership: Evolutionary Algorithms as a Solution to Information Asymmetry
- 1 Introduction
- 2 The Problem
- 3 Proposed Approach
- 3.1 The Model
- 3.2 Data
- 3.3 Adversarial Optimization
- 3.4 Operator (EA1)
- 3.5 Public Administration (EA2)
- 4 Experimental Evaluation
This book constitutes the refereed proceedings of the 25th International Conference on Applications of Evolutionary Computation, EvoApplications 2022, held as part of Evo*2022, in April 2022, co-located with the Evo*2022 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented in this book were carefully reviewed and selected from 67 submissions. .
(source: Nielsen Book Data)
