Machine Learning Optimization of Evolvable Artificial Cells

Machine Learning Optimization of Evolvable Artificial Cells

An evolvable artificial cell is a chemical or biological complex system assembled in laboratory. The system is rationally designed o show life-like properties. In order to achieve an optimal design for the emergence of minimal life, a high dimensional space f possible experimental combinations can be explored. A machine learning approach (Evo-DoE) could be applied to explore his experimental sp...

Comparative Analysis of Machine Learning Algorithms with Optimization Purposes

The field of optimization and machine learning are increasingly interplayed and optimization in different problems leads to the use of machine learning approaches‎. ‎Machine learning algorithms work in reasonable computational time for specific classes of problems and have important role in extracting knowledge from large amount of data‎. ‎In this paper‎, ‎a methodology has been employed to opt...

An On-line Evolvable Hardware for Learning Finite-State Machine

The paper proposes an on-line evolvable hardware (EHW), called mimetic EHW. The task is to mimic a sequential circuit by observing its partial input/output sequences. The genetic algorithm (GA) is used to search for the circuit satisfying input/output sequences collected from the target circuit. The mimetic EHW consists of a custom microprocessor and a tness evaluator. The microprocessor is par...

Optimization for Machine Learning

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Optimization for Machine Learning