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International Joint Conference on Computational Intelligence (IJCCI 2015)
Considered a subfield of computational intelligence focused on combinatorial optimisation
problems, evolutionary computation is associated with systems that use computational models
of evolutionary processes as the key elements in design and implementation, i.e. computational
techniques which are based to some degree on the evolution of biological life in the natural world.
A number of evolutionary computational models have been proposed, including evolutionary
algorithms, genetic algorithms, the evolution strategy, evolutionary programming, swarm
intelligence and artificial life.
This conference intends to be a major forum for scientists, engineers and practitioners interested
in the study, analysis, design, modeling and implementation of evolvable systems, both
theoretically and in a broad range of application fields. ECTA welcomes both theoretical research
and practical applications.
The conference also aims to foster hybrid approaches within evolutionary computation and also
involving fuzzy computation and neural computation.
CONFERENCE TOPICS
Genetic Algorithms
Machine Learning
Cognitive Systems
Artificial Life
Representation Techniques
Evolutionary Multiobjective Optimization
Game Theory and Applications
Evolution Strategies
Evolutionary Robotics and Intelligent Agents
Society and Cultural Aspects of Evolution
Concurrent Co-operation
Co-evolution and Collective Behavior
Biocomputing and Complex Adaptive Systems
Bio-inspired Hardware and Networks
Swarm/Collective Intelligence
Evolutionary Art and Design
Hybrid Systems
Memetic Algorithms
