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What are the future trends in multiobjective optimization?

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Future trends in multiobjective optimization include the acceleration of optimal control for complex problems using surrogate models and model predictive control techniques . Additionally, the field is moving towards specialized and advanced multi-objective evolutionary algorithms, with a wide variety of algorithms available for solving highly complex optimization problems . Another emerging trend is the concept of multiobjectivization, where single-objective optimization problems are transformed into multiobjective ones to attain superior solutions, reduce local optima, and enhance solution diversity . In the energy sector, multiobjective optimization models are increasingly applied to address challenges in areas like smart grids and renewable energy sources, highlighting the importance of exploring well-balanced solutions . Furthermore, in cancer therapy, optimization techniques are being utilized to identify optimal drug combinations, emphasizing the need for advanced heuristic optimization methods to overcome the complexity of the optimization problem .

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Open access•Journal Article•DOI Current Trends in Multidrug Optimization: An Alley of Future Successful Treatment of Complex Disorders Andrea Weiss, Patrycja Nowak-Sliwinska - Show less +1 more 01 Jun 2017 30 Citations	Future trends in multiobjective optimization for complex disorders involve phenotype-based screening methods, including modeling, biological search algorithms, and network biology approaches, to identify optimal drug combinations in cancer therapy.
Book Chapter•DOI Multiobjective Optimization in the Energy Sector: Selected Problems and Challenges Carlos Henggeler Antunes 01 Jan 2019 4 Citations	Future trends in multiobjective optimization include renewable energy integration, smart grid development, electric mobility, and demand-side resource utilization, addressing complex decision-making in the energy sector.
Open access•Journal Article•DOI Multiobjectivization of Single-Objective Optimization in Evolutionary Computation: A Survey 01 Jun 2023-IEEE transactions on cybernetics 27 Citations	Future trends in multiobjective optimization include advancing methods, addressing limitations, exploring new applications, enhancing theoretical analyses, and developing benchmarks for evaluation to further improve solution quality and diversity.
Book Chapter•DOI Multi-Objective Evolutionary Algorithms: Past, Present, and Future Carlos A. Coello Coello, Silvia González Brambila, Josué Figueroa Gamboa, Ma. Guadalupe Castillo Tapia - Show less +3 more 01 Jan 2021 4 Citations	Future trends in multi-objective optimization include specialized algorithms, ongoing research advancements, and the exploration of new research paths to enhance the efficiency and effectiveness of evolutionary algorithms in solving complex problems.
Open access•Journal Article•DOI A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction Sebastian Peitz, Michael Dellnitz - Show less +1 more 01 Jun 2018-Mathematical & Computational Applications 77 Citations	Future trends in multiobjective optimization include using surrogate models for speed-ups, implementing model predictive control for real-time requirements, and employing dimension reduction techniques to reduce numerical effort.

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