Adaptive Evolutionary Optimization of Team Work

TL;DR

This paper introduces an adaptive evolutionary optimization method that enhances algorithm effectiveness by progressively simplifying and then restoring problem complexity, demonstrated on a sample problem.

Contribution

It presents a novel adaptive strategy that improves evolutionary algorithms by solving simplified problems and gradually increasing complexity.

Findings

Significant improvement in optimization effectiveness

Successful demonstration on a sample problem

Potential applicability to various optimization tasks

Abstract

We discuss a new optimization strategy, which considerably improves the effectivity of evolutionary algorithms applied to a certain class of optimization problems. The basic principle is to solve first a simpler related problem, which is constructed by introducing additional degrees of freedom to the landscape. Starting from the solution in this simplified landscape we remove stepwise the added degrees of freedom. Our optimization strategy is demonstrated for a sample problem.