Toward a theory of evolutionary computation.

[1]  A. Turing On Computable Numbers, with an Application to the Entscheidungsproblem. , 1937 .

[2]  Alan M. Turing,et al.  Systems of Logic Based on Ordinals , 2012, Alan Turing's Systems of Logic.

[3]  Emil L. Post A variant of a recursively unsolvable problem , 1946 .

[4]  H. Rice Classes of recursively enumerable sets and their decision problems , 1953 .

[5]  Kazimierz Kuratowski,et al.  Introduction to Set Theory and Topology , 1964 .

[6]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[7]  M. Conrad,et al.  Evolution experiments with an artificial ecosystem. , 1970, Journal of theoretical biology.

[8]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[9]  H. Teicher,et al.  Probability theory: Independence, interchangeability, martingales , 1978 .

[10]  Jeffrey D. Ullman,et al.  Introduction to Automata Theory, Languages and Computation , 1979 .

[11]  M. Golumbic Algorithmic graph theory and perfect graphs , 1980 .

[12]  Stuart J. Russell Efficient Memory-Bounded Search Methods , 1992, ECAI.

[13]  John R. Koza,et al.  Genetic Programming II , 1992 .

[14]  David B. Fogel,et al.  Evolving artificial intelligence , 1992 .

[15]  Günter Rudolph,et al.  Convergence analysis of canonical genetic algorithms , 1994, IEEE Trans. Neural Networks.

[16]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[17]  David B. Fogel,et al.  Evolutionary Computation: Towards a New Philosophy of Machine Intelligence , 1995 .

[18]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[19]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[20]  H. Simon,et al.  The sciences of the artificial (3rd ed.) , 1996 .

[21]  Zbigniew Michalewicz,et al.  Genetic algorithms + data structures = evolution programs (3rd ed.) , 1996 .

[22]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[23]  Dexter Kozen,et al.  Automata and Computability , 1997, Undergraduate Texts in Computer Science.

[24]  Thomas Bäck,et al.  Evolutionary computation: Toward a new philosophy of machine intelligence , 1997, Complex..

[25]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..

[26]  Vidroha Debroy,et al.  Genetic Programming , 1998, Lecture Notes in Computer Science.

[27]  David B. Fogel,et al.  An Introduction to Evolutionary Computation , 2022 .

[28]  John R. Koza,et al.  Genetic Programming III - Darwinian Invention and Problem Solving , 1999, Evolutionary Computation.

[29]  E. Eberbach $-calculus Bounded Rationality = Process Algebra + Anytime Algorithms , 2001 .

[30]  Pavel Pudlák Complexity Theory and Genetics: The Computational Power of Crossing Over , 2001, Inf. Comput..

[31]  E. Eberbach Evolutionary computation as a multi-agent search: a -calculus perspective for its completeness and optimality , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[32]  Eugene Eberbach,et al.  On expressiveness of evolutionary computation: is EC algorithmic? , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[33]  E. Eberbach On the connection between the no free lunch theorem and the trivial property for recursively enumerable languages , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[34]  Xin Yao,et al.  Towards an analytic framework for analysing the computation time of evolutionary algorithms , 2003, Artif. Intell..

[35]  Peter Wegner,et al.  Beyond Turing Machines , 2003, Bull. EATCS.

[36]  Eugene Eberbach,et al.  On designing CO$T: a new approach and programming environment for distributed problem solving based on evolutionary computation and anytime algorithms , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[37]  C. Teuscher,et al.  Alan Turing: Life and Legacy of a Great Thinker , 2004, Springer Berlin Heidelberg.

[38]  Xin Yao,et al.  A study of drift analysis for estimating computation time of evolutionary algorithms , 2004, Natural Computing.

[39]  Peter Wegner,et al.  New Models of Computation , 2004, Comput. J..

[40]  Peter Wegner,et al.  Turing’s Ideas and Models of Computation , 2004 .

[41]  Dr. Zbigniew Michalewicz,et al.  How to Solve It: Modern Heuristics , 2004 .

[42]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.