Over the past decade, the rapid deployment of Low Earth Orbit (LEO)
mega-constellations has significantly reshaped the spatial distribution of the
near-Earth environment and increased orbital density to historically high
levels. While popularizing space access, the accumulation of defunct or
non-cooperative satellites raises severe concerns regarding space sustainability
and the Kessler syndrome. Consequently, the ability to conduct active,
multi-target close-proximity inspection is becoming an essential capability for
Space Situational Awareness (SSA). Traditional monolithic servicing strategies
rely on sequential point-to-point orbital transfers, which have to face heavy
computation cost and restrictive fuel constraints when targeting multi-planar
distributed networks requiring continuous out-of-plane maneuvers and phasing
adjustments. In order to overcome these limitations, the paper proposes a
coordinated mother-daughter satellite cluster architecture. A primary mother
satellite serves as a deployment hub, while a swarm of highly maneuverable
daughter satellites executes sequential "Observe-and-Return" missions, gathering
high-fidelity SSA data. Assigning these multi-target inspection missions to a
limited fleet creates an NP-hard combinatorial challenge, further compounded by
strictly non-overlapping operational time windows and rigid propellant
boundaries. To navigate this high-dimensional search space, the study introduces
an improved Genetic Algorithm (GA) featuring a dynamic chronological decoding
mechanism. Furthermore, to eliminate secular positional drifts during orbital
integration, a high-fidelity five-impulse maneuver sequence is established,
embedding an autonomous Lambert-based positional compensation mechanism.
Simulation results indicate that the proposed method yields scalable,
fuel-feasible, and load-balanced kinematic baselines for autonomous target
characterization across large-scale constellations. Additionally, an
event-triggered dynamic re-planning mechanism is utilized to robustly adapt to
uncooperative evasive maneuvers in highly dynamic real-world space
scenarios.