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Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach.

, , , , , and . CEC, page 2941-2948. IEEE, (2019)

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A multiple surrogate assisted multi/many-objective multi-fidelity evolutionary algorithm., , and . Inf. Sci., (2019)Evolving heuristics for the resource constrained project scheduling problem with dynamic resource disruptions., , and . Swarm Evol. Comput., (2019)On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems., , , , and . Inf. Sci., (2018)Automatic estimation of differential evolution parameters using Hidden Markov Models., , and . Evol. Intell., 10 (3-4): 77-93 (2018)Evolving rollout-justification based heuristics for resource constrained project scheduling problems., , and . Swarm Evol. Comput., (2019)Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution., , , , , , and . SSCI, page 2194-2201. IEEE, (2020)Planning-assisted autonomous swarm shepherding with collision avoidance., , , , and . CoRR, (2023)Re-design for Robustness: An Approach Based on Many Objective Optimization., , , and . EMO (2), volume 9019 of Lecture Notes in Computer Science, page 343-357. Springer, (2015)Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms., , and . CEC, page 1-8. IEEE, (2018)A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty., , , , , and . SMC, page 2634-2641. IEEE, (2021)