Title :
Evaluating the performance of SHADE on CEC 2013 benchmark problems
Author :
Tanabe, Ryo ; Fukunaga, Akira
Author_Institution :
Grad. Sch. of Arts & Sci., Univ. of Tokyo, Tokyo, Japan
Abstract :
This paper evaluates the performance of Success-History based Adaptive DE (SHADE) on the benchmark set for the CEC2013 Competition on Real-Parameter Single Objective Optimization. SHADE is an adaptive differential algorithm which uses a history-based parameter adaptation scheme. Experimental results on 28 problems from the CEC2013 benchmarks for 10, 30, and 50 dimensions are presented, including measurements of algorithmic complexity. In addition, we investigate the parameter adaptation behavior of SHADE on these instances.
Keywords :
benchmark testing; computational complexity; evolutionary computation; performance evaluation; CEC 2013 benchmark problems; SHADE performance evaluation; adaptive differential algorithm; algorithmic complexity measurements; history-based parameter adaptation scheme; parameter adaptation behavior; real-parameter single objective optimization; success-history based adaptive differential evolution; Benchmark testing; Complexity theory; Optimization; Sociology; Statistics; Thyristors; Vectors;
Conference_Titel :
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location :
Cancun
Print_ISBN :
978-1-4799-0453-2
Electronic_ISBN :
978-1-4799-0452-5
DOI :
10.1109/CEC.2013.6557798
