Marylu L. Lagunes
Papers
7
Total Citations
245
H-Index
7
About
Marylu L. Lagunes is a prominent researcher specializing in computational intelligence, fuzzy logic control systems, and bio-inspired optimization algorithms. Her work centers on the design and optimization of fuzzy controllers — particularly Type-2 fuzzy systems — for autonomous mobile robot navigation, a field where precision and adaptability are critical challenges. Lagunes has made significant contributions through her development and application of metaheuristic optimization techniques, most notably the Firefly Algorithm (FA) and Glowworm Swarm Optimization (GSO), to fine-tune membership function parameters in fuzzy controllers. Her most cited work (2020, 92 citations) demonstrates the effectiveness of combining these algorithms for Type-2 fuzzy controller design, establishing a benchmark in the field. A particularly innovative achievement is her competitive multi-metaheuristic model, which dynamically identifies the best-performing algorithm for a given problem by pitting multiple metaheuristic methods against one another — offering a flexible, adaptive approach to optimization. With a consistent publication record from 2017 through 2021 and over 245 cumulative citations, Lagunes has established herself as a leading voice in intelligent robotics and evolutionary computation, providing practical methodologies that advance the autonomy and efficiency of mobile robotic systems.
Research Focus
Key Achievements
Top Papers
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- 7Multi-Metaheuristic Competitive Model for Optimization of Fuzzy Controllers21 citations · 2019