TY - JOUR
T1 - Portfolio Optimization with Translation of Representation for Transport Problems
AU - ZAJECKA, Malgorzata
AU - MASTALERCZYK, Mateusz
AU - CHONG, Siang Yew
AU - YAO, Xin
AU - KWIECIEN, Joanna
AU - CHMIEL, Wojciech
AU - DAJDA, Jacek
AU - KISIEL-DOROHINICKI, Marek
AU - BYRSKI, Aleksander
PY - 2025/1
Y1 - 2025/1
N2 - The paper presents a hybridization of two ideas closely related to metaheuristic computing, namely Portfolio Optimization (researched by Xin Yao et al.) and Translation of Representation for different metaheuristics (researched by Byrski et al.). Thus, difficult problems (discrete optimization) are approached by a sequential run through a number of steps of different metaheuristics, providing the translation of representation (since the algorithms are completely different). Therefore, close cooperation of e.g. ACO, PSO, and GAis possible. The results refer to unaltered algorithms and show the superiority of the constructed hybrid.
AB - The paper presents a hybridization of two ideas closely related to metaheuristic computing, namely Portfolio Optimization (researched by Xin Yao et al.) and Translation of Representation for different metaheuristics (researched by Byrski et al.). Thus, difficult problems (discrete optimization) are approached by a sequential run through a number of steps of different metaheuristics, providing the translation of representation (since the algorithms are completely different). Therefore, close cooperation of e.g. ACO, PSO, and GAis possible. The results refer to unaltered algorithms and show the superiority of the constructed hybrid.
KW - metaheuristics
KW - portfolio optimization
KW - transport problems
U2 - 10.2478/jaiscr-2025-0004
DO - 10.2478/jaiscr-2025-0004
M3 - Journal Article (refereed)
SN - 2083-2567
VL - 15
SP - 57
EP - 75
JO - Journal of Artificial Intelligence and Soft Computing Research
JF - Journal of Artificial Intelligence and Soft Computing Research
IS - 1
ER -