This page explains how Fitness Evaluator is classified within Computer, Electronic and Optical Product Manufacturing. Technical values and manufacturer relationships are research references; confirm the current specification and supplier evidence for each order.
A software component that calculates and assigns fitness scores to candidate solutions in optimization algorithms.
Technical details and manufacturing context for Fitness Evaluator
| Parameter | Typical range | Notes & selection driver |
|---|---|---|
| Supported Algorithms | 10–50 count | Number of optimization algorithms with built-in fitness evaluation |
| Evaluation Speed | 1000–10000 evals/s | Throughput on standard benchmark functions |
| Precision | ±0.001 | Floating-point precision for fitness calculationIEEE 754 |
| Input Dimension | 1–1000 dimensions | Number of decision variables supported |
| Memory Footprint | 50–200 MB | RAM usage for typical configurations |
| Power Consumption | 0.5–2.0 W | Typical power draw |
| Interface Protocol | 1–4 protocols | Number of supported fieldbus protocolsIEC 61158 |
Ranges are indicative industry figures for RFQ preparation, not a supplier commitment. Confirm every value and standard with the legal manufacturer before ordering.
Commonly used trade names and technical identifiers for Fitness Evaluator.
This component is essential for the following industrial systems and equipment:
| other spec: | Processing Speed: 100-1000 evaluations/second, Memory: 2-16 GB RAM, Compatibility: Python 3.6+, Java 8+, C++11+ |
Indicative industry ranges for design and RFQ preparation. Confirm the exact figures and applicable standard with the manufacturer before specifying.
Quoted from the published standard.
Manufacturer profiles associated with Fitness Evaluator.
Manufacturer listings support early research and capability understanding. They are not certification, ranking, or transaction guarantees.
A practical evidence checklist for RFQ preparation and supplier evaluation.
CNFX does not score or rank suppliers. Buyers must verify all claims and documents with the legal manufacturer before ordering.
The Fitness Evaluator is used in optimization algorithms to calculate a numerical fitness score for each candidate solution, indicating how well it meets the optimization criteria. This score guides the algorithm in selecting the best solutions for further processing.
Typical parameters include support for 10–50 optimization algorithms, evaluation speed of 1000–10000 evals/s, precision of ±0.001 (IEEE 754), input dimensions from 1 to 1000, and memory footprint of 50–200 MB. These are reference ranges and must be confirmed for the specific model.
For hardware versions, it operates in temperatures from -40 to 85 °C (IEC 60068-2-1) and humidity from 5 to 95% RH non-condensing (IEC 60068-2-78). It requires a supply voltage of 3.3–5.0 V DC and consumes 0.5–2.0 W. Always verify with the manufacturer.
The listed standards (e.g., IEEE 754, IEC 60068-2-1) are references for verification. You must confirm with the legal manufacturer or supplier that the specific model meets these standards and the required performance values for your application.
Editorial classification, named public sources where available, and source-reviewed manufacturer records.
Ask for use case, specification boundaries, supplier type, and RFQ preparation information for this product.
Compare manufacturer profiles with relevant product and process capability.