Dual-Sequenced Real Coded Genetic Algorithm for Picking Process Optimization

Abstract

Automatic monoclonal colony picking machine with 96-probe picking module were employed to improve picking efficacy. The paper proposes a modified genetic algorithm based on dual-sequenced real coded andnew crossover operator to reduce the moving distance of the picking module in picking process. The algorithm makes the picking process more efficient. It also has good convergence speed and outstanding ability to overcome the premature convergence.