Research Article
Stochastic Multiple Chaotic Local Search-Incorporated Gradient-Based Optimizer
(1) | begin | (2) | /∗initialization of algorithm∗/ | (3) | for do | (4) | Randomly generate individual | (5) | = evaluate | (6) | for do | (7) | Select three random individuals , , and current best . | (8) | /∗Parameter setting∗/ | (9) | Generate parameter , and by equation (14). | (10) | Determine scale factor by means of iteration number. | (11) | Generate adjustment vectors GSR and DM. | (12) | /∗Gradient search rule∗/ | (13) | for do | (14) | Optionally modify the value on each dimension , and obtain by equation (19). | (15) | ifthen | (16) | /∗Local escaping operator∗/ | (17) | is given by equation (20). | (18) | else | (19) | /∗Chaotic local search∗/ | (20) | ifthen | (21) | fordo | (22) | ifthen | (23) | Calculate based on and equation (36). | (24) | else | (25) | = |
|