Data and Code for: Enhanced Memetic Algorithm with Adaptive Local Search for Area-Optimized Standard-Cell Placement in VLSI Physical Design
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资源简介：
This dataset accompanies the research article “Enhanced Memetic Algorithm with Adaptive Local Search for Area-Optimized Standard-Cell Placement in VLSI Physical Design”.
The dataset contains:
1. Synthetic benchmark instances — Ten synthetic placement benchmark configurations (m = 3–49 modules), including module dimensions, netlist connectivity, and slot assignments used in Table 1 of the manuscript.
2. MCNC/GSRC benchmark circuits — Input files for the industrial benchmark circuits apte, xerox, and hp used in Table 2, obtained from the public ICCAD placement benchmark suite.
3. Experimental result tables — Raw numerical results from 30 independent runs for all benchmarks, including bounding-box area, fitness values, wirelength, convergence generation counts, and runtime measurements corresponding to Tables 1–4.
4. EMA source code — ISO C implementation of the Enhanced Memetic Algorithm (EMA), compiled using GNU GCC under Linux with -O2 optimization, including adaptive local search, elitist replacement, and chromosome encoding modules.
5. README documentation — Instructions for compilation and execution, benchmark file formats, parameter settings, and reproduction guidelines.
创建时间：
2026-05-20
