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About

Eduardo Lalla-Ruiz is a prominent researcher specializing in combinatorial optimization, metaheuristics, and autonomous last-mile logistics systems. His work sits at the intersection of operations research and smart urban mobility, with a particular focus on designing and solving complex vehicle routing problems that integrate emerging delivery technologies such as drones, sidewalk robots, and automated guided vehicles (AGVs). Lalla-Ruiz has made significant contributions to the field through his development of innovative multi-tier delivery frameworks. His 2023 paper on the drone-assisted vehicle routing problem with robot stations has already garnered 32 citations, establishing him as a key voice in autonomous logistics optimization. Building on this foundation, he has extended these models to incorporate time windows, multi-depot structures, and multimodal trade-off analyses, addressing real-world challenges such as traffic congestion and operational cost reduction in urban delivery networks. His methodological contributions are equally notable, including the development of advanced metaheuristics such as the Three-Phased Granular Multi-Start Iterated Local Search. By comparing drones, robots, and trucks across multiple objectives including makespan and cost, Lalla-Ruiz provides actionable insights for logistics practitioners and policymakers navigating the rapidly evolving landscape of autonomous urban delivery.