From the reviews: "This is a diverse collection of eleven papers that share the common theme of posing open problems and pointing out possible directions of future research, all written by leading researchers in the field of evolutionary computation (EC). ... A good starting point for readers who are not familiar with evolutionary computation is provided ... . A different approach taken by several authors is the combination of EC with different fields with the aim of enriching and developing EC theory." (Thomas Jansen, Mathematical Reviews, 2005f)

• Towards A Theory of Organisms and Evolving Automata.- Two Grand Challenges for EC.- Evolutionary Computation: Challenges and Duties.- Open Problems in the Spectral Analysis of Evolutionary Dynamics.- Solving Combinatorial Optimization Problems Via Reformulation and Adaptive Memory Metaheuristics.- Problems in Optimization.- EC Theory — “in Theory”.- Asymptotic Convergence of Scaled Genetic Algorithms to Global Optima.- The Challenge of Producing Human-Competitive Results by Means of Genetic and Evolutionary Computation.- Case Based Reasoning.- The Challenge of Complexity.

From the reviews: "This is a diverse collection of eleven papers that share the common theme of posing open problems and pointing out possible directions of future research, all written by leading researchers in the field of evolutionary computation (EC). ... A good starting point for readers who are not familiar with evolutionary computation is provided ... . A different approach taken by several authors is the combination of EC with different fields with the aim of enriching and developing EC theory." (Thomas Jansen, Mathematical Reviews, 2005f)

• Towards A Theory of Organisms and Evolving Automata.- Two Grand Challenges for EC.- Evolutionary Computation: Challenges and Duties.- Open Problems in the Spectral Analysis of Evolutionary Dynamics.- Solving Combinatorial Optimization Problems Via Reformulation and Adaptive Memory Metaheuristics.- Problems in Optimization.- EC Theory — “in Theory”.- Asymptotic Convergence of Scaled Genetic Algorithms to Global Optima.- The Challenge of Producing Human-Competitive Results by Means of Genetic and Evolutionary Computation.- Case Based Reasoning.- The Challenge of Complexity.

From the reviews: "This is a diverse collection of eleven papers that share the common theme of posing open problems and pointing out possible directions of future research, all written by leading researchers in the field of evolutionary computation (EC). ... A good starting point for readers who are not familiar with evolutionary computation is provided ... . A different approach taken by several authors is the combination of EC with different fields with the aim of enriching and developing EC theory." (Thomas Jansen, Mathematical Reviews, 2005f)

• Towards A Theory of Organisms and Evolving Automata.- Two Grand Challenges for EC.- Evolutionary Computation: Challenges and Duties.- Open Problems in the Spectral Analysis of Evolutionary Dynamics.- Solving Combinatorial Optimization Problems Via Reformulation and Adaptive Memory Metaheuristics.- Problems in Optimization.- EC Theory — “in Theory”.- Asymptotic Convergence of Scaled Genetic Algorithms to Global Optima.- The Challenge of Producing Human-Competitive Results by Means of Genetic and Evolutionary Computation.- Case Based Reasoning.- The Challenge of Complexity.