Special Session on Multi-Objective Optimization
We welcome contributions on theory, methodology and applications of multi-objective optimization and multi-criteria decision aiding.
Relevant topics include, but are not limited to, the following:
- Comparative studies of various many-objective optimization techniques
- Designing and constructing many-objective benchmark test problems
- Designing quality/performance metrics for many-objective solutions/algorithms
- Development of meta-heuristic algorithms for many-objective optimization problems
- Evolutionary many-objective optimization methods in search-based software engineering
- Evolutionary many-objective optimization methods applied to real-world problems
- Exact methods from mathematical programming for many-objective optimization problems
- Many-objective optimization in bi-level optimization problems
- Many-objective optimization in combinatorial/discrete optimization problems
- Many-objective optimization in computational expensive optimization problems
- Many-objective optimization in constrained optimization problems
- Many-objective optimization in dynamic environments
- Many-objective optimization in large-scale optimization problems
- Objective reduction techniques
- Preference articulation in many-objective optimization
- Preference-based search in many-objective optimization
- Study of parameter sensitivity in many-objective optimization
- Theoretical analysis and developments in many-objective optimization
- Visualization for decision-making in many-objective optimization
- Visualization for many-objective solution sets
- Visualization for the search process of meta-heuristic algorithms
- Multi-objective Optimization: new algorithms and concrete applications
- Industrial problems, transportation and logistics problems
- contributions to theoretical aspects of Multi-Objective Optimization (MOO) and Multi-Criteria Decision Aiding (MCDA)
- descriptions of actual application cases
- software contributions to MOO or MCDA
- inter-disciplinary research, presenting the contributions of MOO and/or MCDA to other scientific disciplines, or integrating other disciplines into MOO or/and MCDA
- decision aiding and multi-objective optimization for sustainability