Newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation<\/p>\n\n\n\n
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Editorial<\/h3>\n\n\n\n
Welcome to the 2nd (Summer) 2025 issue of the SIGEvolution newsletter! We start with two recent PhD theses addressing current topics: interpretable embodied AI, and benchmarking for optimization and learning. We continue with a position article describing the increasingly active interplay between AI and Evolutionary Computation, covering concrete examples, challenges and opportunities.<\/p>\n\n\n\n
We conclude with announcements and forthcoming events. Remember to contact us if you\u2019d like to contribute or have suggestions for future newsletter issues.<\/p>\n\n\n\n
The cover image was created by Yong-Hyuk Kim, an expert in evolutionary computation and search optimization at the School of Software, Kwangwoon University. It visualizes aesthetically optimized search patterns for autonomous units operating in complex maritime environments. The image is grounded in principles of evolutionary computation, where search patterns are evolved to maximize area coverage while minimizing overlap.<\/p>\n\n\n\n
Inspired by real-world maritime search and rescue operations, the composition reflects a balance between operational feasibility and visual harmony. The search trajectories\u2014spiral, H-curve, and Peano curve\u2014were selected for their distinctive geometric properties, efficient space-filling characteristics, and visual appeal.<\/p>\n\n\n\n
The visual quality of the image was assessed based on multi-objective criteria commonly used in evolutionary design: curve complexity and length, spatial coverage within each region, color diversity and harmony, appropriate intricacy of L-system\u2013based curves, and the number of spiral rotations. The left image was generated using a custom evolutionary algorithm developed by the author, while the right image is a stylized reinterpretation using the AI model Sora, designed to evoke the atmosphere of a maritime environment.<\/p>\n<\/div>\n\n\n\n
These images offer a visual exploration of the creative possibilities of evolutionary computation, highlighting how algorithmic structures can give rise to aesthetic forms.<\/p>\n<\/div>\n<\/div>\n\n\n\n