@article{GENERAL,
      recid = {11153},
      author = {Mitropoulou, D and Miao, T and Dembinskas, D},
      title = {Energy profiling and planning and multi-objective  optimization algorithms comparison performance},
      journal = {Conference Proceedings of iSCSS},
      address = {2024-11-05},
      number = {GENERAL},
      abstract = {The modernization of naval ships requires continuous  advancements in technology to ensure adaptability, stealth,  damage sustainability, extended range, and reliability. In  response to these challenges, the naval shipbuilding sector  has embraced key technology trends, particularly in the  fields of automation and the design of integrated, smart  cyber-physical systems. As part of this evolution, a  research in the performance evaluation of a previously  developed novel Energy Management and Control System (EMS)  is performed, to ensure the smooth operational capabilities  of naval vessels, addressing the imperative of designing  high-performance ships for all operating conditions.
This  paper aims to build upon the aforementioned developments by  exploring the potential benefits of integrating different  multi-objective optimization algorithms into the EMS of  naval ships. The traditional focus on fuel cost savings in  current energy management systems may not fully exploit the  versatility of naval vessels, as each mission presents  distinct operational requirements. The ability to adapt to  a wide variety of missions in an ever-changing world  underscores the importance of developing more sophisticated  integrated control algorithms with multiple optimization  goals. Yet, complexity can have an impact in terms of  performance, and simplicity can be of essence when choosing  the most optimal optimization algorithm. 
The proposed  review is focusing on the performance comparison between  four optimization algorithms: Lagrange-multiplier, Nelder  Mead, interior point and active set and analyse the  performance in terms of cost and computing time when  modulating shipboard energy production in a hybrid  propulsion plant with a hybrid power supply. It takes into  account the trade-off between multiple and conflicting  operating goals, including fuel savings, maintenance costs,  noise and IR  of on-board assets. To ensure equitable  comparisons,  a previously developed model of an Offshore  Patrol Vessel, as published in INEC 2020 with tittle  “Multi-objective optimization and Energy Management:  adapt your ship to every mission” has been employed for  testing and benchmarking purposes. Simulation results under  varying operational profiles showcase the applicability,  validity, and advantages of different EMS algorithms  compared to conventional rule-based strategies currently in  use.},
      url = {http://library.imarest.org/record/11153},
      doi = {https://doi.org/10.24868/11153},
}