Improving flexibility and efficiency by adding parallelism to genetic algorithms

No free lunch theorems for optimization

David H. Wolpert, William G. Macready · IEEE Transactions on Evolutionary Computation · 1997 · 13.9K citations

Computing, Computer Science, Mathematics +12

A genetic algorithm tutorial

Darrell Whitley · Statistics and Computing · 1994 · 4.5K citations

Architecture, Computer Science, Algorithms +11

Evolutionary computation: comments on the history and current state

Thomas Bäck, Ulrich Hammel, Hans–Paul Schwefel · IEEE Transactions on Evolutionary Computation · 1997 · 1.5K citations

Architecture, Evolutionary Biology, Evolutionary Theory +13

Reducing bias and inefficiency in the selection algorithm

James E. Baker · international conference on Genetic algorithms · 1987 · 1.4K citations

Public Health, Biostatistics, Machine Learning +11

The parallel genetic algorithm as function optimizer

Heinz Mühlenbein, M. Schomisch, Jan Born · Parallel Computing · 1991 · 716 citations

Computing, Computer Science, Optimization +13