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Varying environments can speed up evolution.

Nadav Kashtan1, Elad Noor, Uri Alon

  • 1Deptartment of Molecular Cell Biology and Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel.

Proceedings of the National Academy of Sciences of the United States of America
|August 19, 2007
PubMed
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Simulations of biological evolution can be significantly accelerated by using temporally varying goals. This method, especially with modularly varying goals, speeds up evolution compared to fixed goals, particularly for complex problems.

Area of Science:

  • Evolutionary computation
  • Computational biology
  • Artificial intelligence

Background:

  • Simulations of biological evolution often require numerous generations to reach goals.
  • There is a need for methods to accelerate evolutionary simulations under natural conditions.

Purpose of the Study:

  • To investigate the impact of temporally varying goals on the speed of evolution in simulations.
  • To compare the evolutionary speed toward fixed goals versus time-varying goals.

Main Methods:

  • Utilizing computer simulations to model evolutionary processes.
  • Implementing and analyzing evolution toward fixed and temporally varying goals, including modular variations.

Main Results:

  • Evolution toward time-varying goals can dramatically speed up the evolutionary process compared to fixed goals.

Related Experiment Videos

  • Modularly varying goals, where new goals share subproblems with previous ones, yield the highest speedup.
  • The speedup effect is more pronounced for more complex goals.

    • Conclusions:

    • Temporally varying goals can significantly accelerate evolutionary simulations.
    • Modularly varying goals help populations escape local optima and find modular, evolvable solutions.
    • This approach has implications for understanding natural evolution and improving optimization algorithms in engineering.