Simulated Evolution and Learning SEAL-2010 is the eighth biennial conference in the highly successful conference series that aims at exploring these two forms of adaptation and their roles and interactions in adaptive systems. Any paper involving evolution as a vehicle for adaptive and artificial problem solving tasks and any form of computational and machine learning procedure for developing and analyzing adaptive or artificial systems will be of interest to this conference. Cross-fertilisation between evolutionary learning and other machine learning approaches, such as neural network learning, reinforcement learning, decision tree learning, fuzzy system learning, etc., are encouraged by the conference. The other major theme of the conference is optimization problem solving by evolutionary approaches or hybrid evolutionary approaches. The topics of interest to this conference include but are not limited to the following: Evolutionary Learning; Evolutionary Optimization (single and multi-objective); Hybrid Learning; Hybrid Optimization, Adaptive Systems; Theoretical Issues in Evolutionary Computation; Real-World Applications of Evolutionary Computation and Learning Techniques. See Call For Papers for further details.