Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Adaptive global optimization with local search
Adaptive global optimization with local search
Lamarckian Evolution, The Baldwin Effect and Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
Evolutionary algorithms with local search for combinatorial optimization
Evolutionary algorithms with local search for combinatorial optimization
A comparison of selection schemes used in evolutionary algorithms
Evolutionary Computation
An adaptive optimization technique for dynamic environments
Engineering Applications of Artificial Intelligence
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This paper investigates the ability of evolutionary global-local hybrid algorithms to handle dynamic fitness functions. Using a model where fitness functions vary in ruggedness as well as in whether changes occur gradually or abruptly, we evaluate the performance of Baldwinian and Lamarckian hybrid strategies and find them capable of locating and tracking a moving global optimum.