Computational Intelligence : 17th International Joint Conference, IJCCI 2025, Marbella, Spain, October 22-24, 2025, Proceedings, Part II (Communications in Computer and Information Science)

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Computational Intelligence : 17th International Joint Conference, IJCCI 2025, Marbella, Spain, October 22-24, 2025, Proceedings, Part II (Communications in Computer and Information Science)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 588 p.
  • 商品コード 9783032156341

Description

This three-volume set CCIS 2827-2829 constitutes the refereed proceedings of the 17th International Joint Conference on Computational Intelligence, IJCCI 2025, held in Marbella, Spain, during October 22 24, 2025.

The 36 full papers and 83 short papers included in these volumes were carefully reviewed and selected from 146 submissions. They are organized into the following topical sections: 

Part I: International Conference on Agentic and Generative Techniques in Intelligent Computational Systems; International Conference on Fuzzy Computation Theory and Applications.
Part II: International Conference on Evolutionary Computation Theory and Applications.
Part III: International Conference on Explainable AI for Neural and Symbolic Methods; International Conference on Neural Computation Theory and Applications.

.- International Conference on Evolutionary Computation Theory and Applications.
.- Evolutionary Multi-Objective Optimization of Unmanned Aerial Base Station Placement for Power Grid Recovery.
.- A Constraint-Handling Method for Model-Building Genetic Algorithm: Three-Population Scheme.
.-  Genetic Programming with Ranging-Binding Mechanism for Symbolic Regression.
.- Comparative Analysis of Performance Predictors in Multi- Objective Neural Architecture Search for Image Super-Resolution: XGBoost Regressor and SynFlow.
.- Scaling Up Pareto Local Optimal Solutions Networks: Modelling Multi-Objective Landscapes.
.- Comparative Analysis of Model Selection Criteria for Symbolic Regression Using Genetic Programming.
.- Automatic Synthesis of Selection Operators in Genetic Algorithms Using FunSearch.
.- Evaluating Fitness Averaging Strategies in Cooperative NeuroCoEvolution for Automated Soft Actuator Design.
.- Hierarchical Self-Evaluated Topology PSO with Grouping and Mediator.
.- GADA: An Adaptive Genetic Algorithm-Based Framework for Dynamic University Course Timetabling.
.- Edge Weight Learning Approaches for the Promotion of Fairness in the Dictator Game. 
.- An Adaptive Redundancy-Aware Binary Grey Wolf Optimizer for
 Feature Selection.
.- Enhanced Adaptive Differential Evolution for Optimized Ensemble Learning in Diabetic Retinopathy Diagnosis.
.- SCOPE for Hexapod Gait Generation.
.- Evolving Neural Controllers for Xpilot-AI Racing Using Neuroevolution of Augmenting Topologies.
.- Niching Agents in The Core.
.- Decentralized Evolution of Hexapod Gaits with Independent Leg
 Controllers.
.-  Novel Discretization Scheme for Multidimensional Split-on-Demand on Real-Valued Optimization with High Multi-Modality.
.- Investigation of Behavioral Cloning Guided Genetic Programming Using a Multilayer Perceptron for Symbolic Regression.
.- Extending Cartesian Genetic Programming via Iterative Subgraph Assessment.
.- Robustness of Evolved Strategies: An Application to Cycling.
.- Incremental Evolution of Fault-Tolerant Gaits in Octopod Robots.
.- Behaviour Space Analysis of LLM-Driven Meta-Heuristic Discovery.
.- Sustainable Performance Improvement of Surrogate-Assisted Evolutionary Algorithms Using Tabu Search.
.- A Comparative Study of Binary-Coded Red Deer and Genetic Algorithms
.- An Overview of Genetic Algorithms in Educational Research from 2020 to 2024.
.- Evolution of Wavelets and Hardware for Satellite Image Compression.
.-  Using an Integer Condensed Population for Resource-Constrained Evolution. 
.-  Integral Maude Operation Semantics for Algebraic Petri Nets: An Effective Model of Adaptive Systems.
.- The Traveling Tournament Problem: Valid Solutions are Different Across Instance Sizes.
.- A Surrogate-Assisted Co-Evolutionary Framework for Bilevel Optimization.
.-  SA-GA: Surrogate-Assisted Genetic Algorithm for Optimizing Activation Function Approximations in Privacy-Preserving EEG Classification Networks.
.-  Solving the Electric Vehicle Routing Problem with Nonlinear Charging Functions Using Genetic Programming.
.- Optimization Is not Enough: Why Problem Formulation Deserves Equal Attention.


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