Evolutionary Computation (original) (raw)

2019, Evolutionary Biology

Genetic Algorithms and Evolutionary Computation publishes research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implementation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). Proposals in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy GENAGENAGENA systems, and quantum computing will be considered for GENAGENAGENA publication in this series as long as GEC techniques are part of Genetic Algorithms and or inspiration for the system being described. Manuscripts Evolutionary Computation describing GEC applications in all areas of engineering, commerce, the sciences, and the humanities are encouraged.