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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Full 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.

Contents

.- 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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