<p>In the paper, copepod universal formulas are applied to construct a copepod individual-based model (IBM), and a genetic algorithm (GA) is incorporated in the formulas with genes as species parameters. The IBM initially constructs the individuals with all possible genes similar to the original state of natural selection. Climate-averaged temperature and chlorophyll <i>a</i> (Chl <i>a</i>) time series at the surface layer of fixed points in the Georges Bank (GB) and the Gulf of Maine (GOM) are taken as the model environment. The IBM has been running for 50 a in the environment without inter-annual change. The IBM results indicate that some of the life history traits of the top ten abundant species output by the IBM in the GB and the GOM are consistent with the real species <i>Calanus finmarchicus, Pseudocalanus</i> spp., <i>Centropages typicus</i>, and <i>Centropages hamatus</i> in terms of reproduction strategy, time to reach the maximum abundance, water temperature preference, and adult body mass. The study of the top ten abundant species with multidimensional scaling (MDS) and clustering analysis (CA) methods indicates that reproduction strategy is the basis for grouping. For the species taking the broadcasting strategy, both GB and GOM environments tend to choose small-bodied species with cold-water preference, such as <i>Pseudocalanus</i> spp.; for the species taking the egg-carrying strategies, the GB environment selects large-bodied species with cold-water preference, such as <i>C. finmarchicus</i>, while the GOM environment selects medium-bodied species with warm-water preference, such as <i>Centropages</i> spp. (<i>C. typicus</i> and <i>C. hamatus</i>). After gene mutation is added to the IBM, the model result gets simple, which needs to be further improved. The significance of the paper lies in systematically studying the impact of GB and GOM environments on the evolutionary life history traits of copepods for the first time.</p>