Research Article
A Framework for Valuation and Portfolio Optimization of Venture Capital Deals with Contractual Terms
Table 12
Comparing the performance of NSGA-II, DPTMOHS, and MBHS algorithms.
| Test number | Size | Budgets | MNPV | NSGA-II | DPTMOHS | MBHS | B–E | MID | SDS | RAS | MID | SDS | RAS | MID | SDS | RAS |
| 1 | 30 | 150–200 | 25 | 0.417 | 0.062 | 0.646 | 0.428 | 0.080 | 0.688 | 0.495 | 0.086 | 0.796 | 2 | 30 | 150–200 | 50 | 0.641 | 0.029 | 0.896 | 0.440 | 0.068 | 0.650 | 0.514 | 0.077 | 0.882 | 3 | 30 | 150–200 | 75 | 0.358 | 0.087 | 0.453 | 0.437 | 0.070 | 0.615 | 0.557 | 0.076 | 0.645 | 4 | 30 | 150–200 | 100 | 0.452 | 0.084 | 0.674 | 0.458 | 0.088 | 0.687 | 0.424 | 0.144 | 0.706 | 5 | 30 | 150–200 | 125 | 0.458 | 0.065 | 0.669 | 0.537 | 0.208 | 0.463 | 0.587 | 0.115 | 1.011 | 6 | 30 | 300–400 | 25 | 0.593 | 0.042 | 0.872 | 0.385 | 0.067 | 0.508 | 0.633 | 0.125 | 1.095 | 7 | 30 | 300–400 | 50 | 0.626 | 0.041 | 0.933 | 0.390 | 0.073 | 0.524 | 0.631 | 0.124 | 1.106 | 8 | 30 | 300–400 | 75 | 0.482 | 0.100 | 0.775 | 0.460 | 0.079 | 0.683 | 0.621 | 0.132 | 0.965 | 9 | 30 | 300–400 | 100 | 0.618 | 0.039 | 0.920 | 0.620 | 0.035 | 1.032 | 0.625 | 0.148 | 1.069 | 10 | 30 | 300–400 | 125 | 0.472 | 0.103 | 0.804 | 0.380 | 0.074 | 0.532 | 0.625 | 0.148 | 0.983 | 11 | 40 | 150–200 | 25 | 0.390 | 0.091 | 0.573 | 0.317 | 0.079 | 0.388 | 0.178 | 0.033 | 0.161 | 12 | 40 | 150–200 | 50 | 0.421 | 0.075 | 0.577 | 0.423 | 0.088 | 0.646 | 0.360 | 0.099 | 0.269 | 13 | 40 | 150–200 | 75 | 0.501 | 0.040 | 0.658 | 0.354 | 0.075 | 0.487 | 0.380 | 0.097 | 0.544 | 14 | 40 | 150–200 | 100 | 0.457 | 0.044 | 0.588 | 0.302 | 0.089 | 0.378 | 0.336 | 0.118 | 0.476 | 15 | 40 | 150–200 | 125 | 0.419 | 0.089 | 0.682 | 0.290 | 0.033 | 0.319 | 0.446 | 0.120 | 0.768 | 16 | 40 | 300–400 | 25 | 0.434 | 0.063 | 0.720 | 0.315 | 0.059 | 0.382 | 0.292 | 0.054 | 0.322 | 17 | 40 | 300–400 | 50 | 0.418 | 0.055 | 0.536 | 0.337 | 0.077 | 0.423 | 0.449 | 0.058 | 0.615 | 18 | 40 | 300–400 | 75 | 0.464 | 0.120 | 0.830 | 0.324 | 0.081 | 0.437 | 0.583 | 0.045 | 0.848 | 19 | 40 | 300–400 | 100 | 0.472 | 0.092 | 0.739 | 0.322 | 0.082 | 0.441 | 0.450 | 0.059 | 0.626 | 20 | 40 | 300–400 | 125 | 0.434 | 0.107 | 0.634 | 0.313 | 0.078 | 0.437 | 0.453 | 0.043 | 0.469 | 21 | 50 | 150–200 | 25 | 0.308 | 0.115 | 0.433 | 0.262 | 0.077 | 0.304 | 0.387 | 0.099 | 0.379 | 22 | 50 | 150–200 | 50 | 0.521 | 0.077 | 0.873 | 0.227 | 0.075 | 0.222 | 0.528 | 0.143 | 1.115 | 23 | 50 | 150–200 | 75 | 0.352 | 0.261 | 0.731 | 0.194 | 0.103 | 0.209 | 0.461 | 0.141 | 0.851 | 24 | 50 | 150–200 | 100 | 0.380 | 0.051 | 0.437 | 0.275 | 0.300 | 0.508 | 0.479 | 0.113 | 0.731 | 25 | 50 | 150–200 | 125 | 0.492 | 0.154 | 0.899 | 0.143 | 0.021 | 0.140 | 0.433 | 0.081 | 0.550 | 26 | 50 | 300–400 | 25 | 0.261 | 0.064 | 0.328 | 0.271 | 0.048 | 0.288 | 0.407 | 0.074 | 0.507 | 27 | 50 | 300–400 | 50 | 0.486 | 0.133 | 0.949 | 0.362 | 0.047 | 0.451 | 0.395 | 0.031 | 0.479 | 28 | 50 | 300–400 | 75 | 0.521 | 0.252 | 1.141 | 0.361 | 0.129 | 0.512 | 0.368 | 0.041 | 0.476 | 29 | 50 | 300–400 | 100 | 0.673 | 0.103 | 1.607 | 0.343 | 0.064 | 0.451 | 0.415 | 0.034 | 0.506 | 30 | 50 | 300–400 | 125 | 0.468 | 0.183 | 1.099 | 0.318 | 0.058 | 0.348 | 0.447 | 0.101 | 0.631 |
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