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Table 1 Genetic algorithm parameters Parameters Values Size population 80 Maximum of generation 30 Prob.

Additional docking parameters were number of GA runs: 100, populations size: 100, maximum numbers of evaluations: 10000000, maximum number of generation: 27000, rate of gene mutation: 0.02, Rate of crossover: 0.8, and number of generation for picking: 100.

The docking parameters used are as follows: number of genetic algorithm (GA) runs: 10, population size: 150, maximum number of evaluation: 2500000, and maximum number of generation: 27000.

MaxGen is the maximum number of generation iterations allowed.

The population is 500; the maximum number of generation is 5000; the crossover probability is 0.7.

MaxGen Maximum number of generation 'MaxGen' is a predefined number which is a criterion that checks the termination process.

Parameters Values Population size 40 Chromosome length 128 Maximum number of generation 30 Crossover rate 0.7 Mutation rate 0.05.

It is found that the proposed normalized objective function is fully capable of arriving an optimal solution with minimum number of trial runs under population size of 50 and maximum number of generation 2000.

In the case of sol-gel-synthesized sample (sample 2), the ethanol concentration rapidly drops in 15 min, which allows detecting the maximum of acetaldehyde generation at the moment of almost complete dissociation of ethanol.

Maximum number of generations were kept as 1000, maximum number of top individual that automatically survived set to 1, mutation rate of 0.02, crossover rate of 0.8.

The second control parameter is the maximum cycle, which is equal to the maximum number of generations.