![Sample our Global Development journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5929/TOC-Subject-Sample-2021-Global-Development.jpg"})
Abstract
The aim of this investigation is to analyze a class of multiple criteria optimization problems that are solved by human‐computer interaction, using a computer network. A multiple criteria problem is iterated by interactively selecting different weight coefficients of the criteria. Several parallel solution strategies for solving this optimization problem have been developed and analyzed. The experiments have shown the importance of human assistance in solving this multiple criteria problem. New experimental investigations have been carried out with a different number of computers and different strategies where the human factors are analyzed. We have investigated the time necessary for human's training to solve this multiple criteria optimization problem, the dependence of human factors on the strategy of parallel solution and on the number of computers in a computer network.
Santrauka
Tyrimo tikslas ‐ ištirti daugiakriteriniu optimizavimo uždaviniu klase, kai uždaviniai sprendžiami kompiuterio ir žmogaus saveikai naudojant kompiuteriu tinkla. Daugiakriterinio optimizavimo uždavinys sprendžiamas interaktyviai, kiekvienam kriterijui parenkami skirtingi svoriniai koeficientai. Šiam uždaviniui spresti buvo sukurtos ir ištirtos kelios lygiagretaus sprendimo strategijos. Eksperimentai parode žmogaus, dalyvaujančio sprendžiant ši uždavini, svarba. Tiriant žmogiškaji faktoriu buvo atlikti eksperimentiniai tyrimai naudojant skirtinga kompiuteriu skaičiu pagal skirtingas strategijas. Ištirtas laikas, reikalingas žmogui išmokti spresti ši daugiakriterini optimizavimo uždavini, nustatyta žmogiškojo faktoriaus priklausomybe nuo pasirinktos lygiagretaus sprendimo strategijos ir kompiuteriu skaičiaus kompiuteriu tinkle.
