Assembler Encoding represents neural network in the form of a simple program called Assembler Encoding Program. The task of the program is to create the so-called Network Definition Matrix which maintains the whole information necessary to construct the network. To generate Assembler Encoding Programs and in consequence neural networks evolutionary techniques are used. In order to use evolutionary techniques to construct Assembler Encoding Programs it is necessary to encode them in the form of chromosomes. The simplest solution is to place the whole information necessary to construct the program into one chromosome. The paper suggests another approach. Methods proposed in the paper are an adaptation of Symbiotic Adaptive Neuro-evolution. To test the methods proposed they were used to solve a few simple optimization problems.