def run_rtn(case, options):
    if case['model'] == 'rtn1':
        steel_rtn = PlantRtnBuilder(case)
        opt_math_model = OptModelBuilder(steel_rtn, options)
    elif case['model'] == 'rtn2':
        steel_rtn = PlantRtn2Builder(case)
        opt_math_model = OptModelBuilderRTN2(steel_rtn, options)
    else:
        opt_math_model = None

    # log.info('task %d resource %d binary %d total %d constraint %d T %d'
    #          % (opt_math_model.num_tasks, opt_math_model.num_resources,
    #             opt_math_model.num_x, (opt_math_model.num_y+opt_math_model.num_x),
    #             opt_math_model.num_con, opt_math_model.num_t))

    result = solve_cplex(opt_math_model)
    # result = solve_schedule_bb.SteelBranchBound(steel_rtn, opt_math_model).solve_bb()

    if result['status'] in [101, 102, 107]:
        # print json.dumps(result, indent=2)
        log.info('%-40s obj %.1f group %d CPU %d rel_gap %.4f relax_obj %.1f status %d'
                 % (case['doc'], result['obj'], case['group_num'], result['cpu_time'],
                    result['rel_gap'], result['best_relaxed_obj'], result['status']))
        xx = result['xx'].toarray()
        np.savetxt('%sxx_%s.txt' % (DIR_TEMP, case['doc']), xx)
        yy = result['yy'].toarray()
        np.savetxt('%syy_%s.txt' % (DIR_TEMP, case['doc']), yy)
    else:
        log.error('%s No solution after %d s status %d' % (case['doc'], result['cpu_time'], result['status']))
def run_rtn(case, options, work_dir):
    if case['model'] == 'rtn1':
        steel_rtn = PlantRtnBuilder(case)
        opt_math_model = OptModelBuilder(steel_rtn, options)
    elif case['model'] == 'rtn2':
        steel_rtn = PlantRtn2Builder(case)
        opt_math_model = OptModelBuilderRTN2(steel_rtn, options)
    else:
        opt_math_model = None

    result = solve_cplex(opt_math_model)

    if result['status'] in [101, 102, 107]:
        log.info('%-40s obj %.1f group %d CPU %d rel_gap %.4f relax_obj %.1f status %d'
                 % (case['doc'], result['obj'], case['group_num'], result['cpu_time'],
                    result['rel_gap'], result['best_relaxed_obj'], result['status']))
        xx = result['xx'].toarray()
        yy = result['yy'].toarray()
        steel_util.dump_schedule(case, xx.reshape(-1).tolist(), yy.reshape(-1).tolist(), work_dir)
    else:
        log.error('%s No solution after %d s status %d' % (case['doc'], result['cpu_time'], result['status']))
Beispiel #3
0
def run_rtn(case, options):
    if case['model'] == 'rtn1':
        steel_rtn = PlantRtnBuilder(case)
        opt_math_model = OptModelBuilder(steel_rtn, options)
    elif case['model'] == 'rtn2':
        steel_rtn = PlantRtn2Builder(case)
        opt_math_model = OptModelBuilderRTN2(steel_rtn, options)
    else:
        opt_math_model = None

    # log.info('task %d resource %d binary %d total %d constraint %d T %d'
    #          % (opt_math_model.num_tasks, opt_math_model.num_resources,
    #             opt_math_model.num_x, (opt_math_model.num_y+opt_math_model.num_x),
    #             opt_math_model.num_con, opt_math_model.num_t))

    result = solve_cplex(opt_math_model)
    # result = solve_schedule_bb.SteelBranchBound(steel_rtn, opt_math_model).solve_bb()

    if result['status'] in [101, 102, 107]:
        # print json.dumps(result, indent=2)
        log.info('%-40s obj %.1f group %d CPU %d rel_gap %.4f relax_obj %.1f status %d'
                 % (case['doc'], result['obj'], case['group_num'], result['cpu_time'],
                    result['rel_gap'], result['best_relaxed_obj'], result['status']))
        xx = result['xx'].toarray()
        np.savetxt('%sxx_%s.txt' % (DIR_TEMP, case['doc']), xx)
        yy = result['yy'].toarray()
        np.savetxt('%syy_%s.txt' % (DIR_TEMP, case['doc']), yy)
    else:
        log.error('%s No solution after %d s status %d' % (case['doc'], result['cpu_time'], result['status']))