Focuses on computational intelligence, a collection of biologically and linguistically motivated computational paradigms, including the theory, design, application, and development of neural networks, connectionist systems, evolutionary algorithms, fuzzy systems, and hybrid intelligent systems.
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An Introduction to Computational Intelligence in Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff
Achieving Balance Between Convergence and Diversity in Evolutionary Multi-Objective Optimization - Ke Li
Adaptive Learning and Optimization for MI: From the Foundations to Complex Systems - Haibo He - WCCI 2016
Neuropercolation + Neurodynamics: Dynamical Memory Neural Networks in Biological Systems and Computers 3
Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems : Part 4
Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems : Part 2
Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues : Part 3
Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues : Part 2
From Clusters to Models and Perceptions: The Evolution of Fuzzy Clustering and Linear Expansions with Nonlinear Cost Functions:
From Clusters to Models and Perceptions: The Evolution of Fuzzy Clustering and Linear Expansions with Nonlinear Cost Functions: (3)
From Clusters to Models and Perceptions: The Evolution of Fuzzy Clustering and Linear Expansions with Nonlinear Cost Functions: (2)
Multiobjective Quantum-inspired Evolutionary Algorithm and Preference-based Solution Selection Algorithm
Kazuo Tanaka: A Unified Fuzzy Model-Based Framework for Modeling and Control of Complex Systems: From Flying Vehicle Control to
Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems : Part 3
Adaptive Dynamic Programming and Reinforcement Learning for Feedback Control of Dynamical Systems : Part 1
Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues : Part 4
Basics of DHP Type Adaptive Critics, Approximate Dynamic Programming and Some Application Issues : Part 1
Valerie Cross - Similarity from Fuzzy Sets to Semantic Similarity and Their Role on the Semantic Web
When Do We Resort to EC in the Communications Industry, and What is Needed in the Future? - IEEE Congress on Evolutionary Computation 2017
How Symmetry Constrains Evolutionary Optimizers: A Black Box Differential Evolution Case Study - IEEE Congress on Evolutionary Computation 2017
Stan Schneider: Complexity Management in the Industrial IoT - IoT Challenges Industry Forum Panel: WF IoT 2016
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Computational Intelligence for Games [3 Videos]
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