Deas is a branch of nonlinear optimization algorithms. The principle of DEAS is based on the distinct properties of binary strings. If a binary digit, 0 or 1, is appended to any binary string as a least significant bit (LSB), the decoded real number of a new binary string decreases for 0, and increases for 1 compared with that of the original binary string. Moreover, if a binary string undergoes increment addition or decrement subtraction, the real number of each processed string increases or decreases equidistantly. These two characteristics of binary strings are adopted for the determination of a search direction and a step length in DEAS.
 
   
 
Fig.1 Search aspect of DEAS in a two-dimensional problem
 
   
 
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