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Experimental results based on ten representative benchmark problems indicate that, MIAB outperforms the original immune algorithm, it performs better or similarly the other two outstanding approached NSGAII and MOEA/D in solution quality on most of the eight testing MOPs.
The experimental problems, including both normal unconstrained optimization and engineering problems (benchmark problems), indicate that the proposed algorithm is competitive with the normal method.
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A systematically rendered comparison between the proposed PSO framework and several other state-of-the-art PSO-variants as well as evolutionary algorithms on a test-suite comprising 16 standard numerical benchmarks and two real world problems indicates that the proposed algorithm can enjoy a statistically superior performance on a wide variety of problems.
Experimental results on several benchmark problems show that modeling accuracies have been promoted significantly.
Results for the benchmark problems show that both S3 and ADM are efficient for treating high dimensional reliability problems.
Applying the proposed approach to several well-known benchmark problems, results indicate that the INGHS algorithm can find better solution effectively and efficiently.
Applications of the proposed design procedure to a benchmark example from the literature and to a pattern recognition problem indicate that it may improve the effectiveness of the existing methods.
Benchmark programs indicate that client caches allow diskless Sprite workstations to perform within 0-80-8% withstations with disks.
Benchmark programs indicate that client caches allow diskless Sprite workstations to perform within 5percentt of workstations with disks.
Benchmark test cases indicate that this implementation has satisfactory accuracy for complex rarefied gas flow simulations.
This systematic comparison requires adequate benchmark problems, that is, reference calibration case studies of realistic size and nature that can be easily used by the community.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com