�橡�ｊｔｔｃ２.PDF1 ( ) 1 GA GA GA GA – MOGA (Multiple-Objective Genetic Algorithm) – GA GA GA MOGA GA GA MOGA GA GA 3.1 MOGA i x j x ( ) q f f f , , , 2 1 L = f i x j x j x ( ) ( ) ( ) ( ) ( ) ( ) j q i q j i j i f f f f f f x x x x x x ≤ ∧ ∧ ≤ ∧ ≤ L 2 2 1 1 ( ) ( ) j i x f x f ≠ (24) (24) j x i x j x j x MOGA [9] ( 15) t t i p i x i x ( ) t i i p + =1 t , rank x (25) 1 15 MOGA [3] ) F( i x ) ( F i x ′ ∑ = ′ j j i
