TY  - EJOU
AU  - Zhang, Yiying 

TI  - Elite Population-Driven Backtracking Search Algorithm
T2  - Computers, Materials \& Continua

PY  - 
VL  - 
IS  - 
SN  - 1546-2226

AB  - Backtracking search algorithm (BSA) is a very simple and efficient metaheuristic algorithm. However, BSA only relies on the random crossover vectors generated between the historical population and the current population to guide the search direction of the population, lacking purposefulness. In view of this, this paper proposes an improved backtracking search algorithm (IBSA) that designs three search strategies by creating two dynamic elite populations. Compared to BSA, IBSA has stronger purposefulness in the search process. To validate the effectiveness of the proposed algorithm, 30 challenging test functions and four complex constrained engineering design problems are solved by employing IBSA, BSA, and four other excellent metaheuristic algorithms. Experimental evidence attests to the superior effectiveness of IBSA in optimization tasks, which also proves the effectiveness of the improved strategy.
KW  - Elite population; backtracking search algorithm; global optimization; engineering optimization

DO  - 10.32604/cmc.2026.087316