Seeking a versatile tool for exploring complex ecological models? This paper introduces a computational environment built upon cellular automata and genetic algorithm principles, designed for studying ecological systems. This approach is particularly valuable for biological models, offering a flexible platform for researchers to investigate a wide range of ecological phenomena. The program runs on an IBM compatible personal computer, featuring a visual genetic algorithm display for intuitive interaction. Its menu-based interface makes it accessible to both experts and non-experts, allowing researchers to manipulate environmental and behavioral parameters to conduct diverse studies. To illustrate the program's capabilities, the paper presents a set of simulations demonstrating their effect on the evolution of biological populations. This computational environment empowers researchers to explore complex ecological dynamics, furthering our understanding of the intricate relationships within ecosystems.