Emergent computation
Evolving artificial intelligence
Evolving artificial intelligence
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Outline for a Logical Theory of Adaptive Systems
Journal of the ACM (JACM)
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Ant Colony Optimization
How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
Cellular Automata
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Universality for Turing Machines, Inductive Turing Machines and Evolutionary Algorithms
Fundamenta Informaticae - Machines, Computations and Universality, Part I
IBM Journal of Research and Development
IBM Journal of Research and Development
Evolutionary automata as foundation of evolutionary computation: Larry Fogel was right
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Super-Recursive Algorithms
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Convergence analysis of canonical genetic algorithms
IEEE Transactions on Neural Networks
The Computer Journal
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Evolution is one of the indispensable processes of life. After biologists found basic laws of evolution, computer scientists began simulating evolutionary processes and using operations discovered in nature for solving problems with computers. As a result, they brought forth evolutionary computation, inventing different kinds operations and procedures, such as genetic algorithms or genetic programming, which imitated natural biological processes. Thus, the main goal of our Symposium is exploration of the essence and characteristic properties of evolutionary computation in the context of life and computation.