Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute...

single-objective optimization cases are presented. In the second part, test functions with their respective Pareto fronts for multi-objective optimization problems...

Cho, S. B. (2012). A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem. 'International Journal of Applied...

generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from...

objective. The objective typically maximizes factors such as expected return, and minimizes costs like financial risk, resulting in a multi-objective...

The problem changes from a single objective optimization problem (minimizing cost), to a multi-objective optimization problem (minimizing cost and maximizing...

Lexicographic optimization is a kind of Multi-objective optimization. In general, multi-objective optimization deals with optimization problems with two...

concerned with conflicting alternatives. It is distinct from multi-objective optimization in that it is concerned with agents acting in environments. Hayes...

Active learning (machine learning) Multi-objective optimization Močkus, J. (1989). Bayesian Approach to Global Optimization. Dordrecht: Kluwer Academic. ISBN 0-7923-0115-3...

to training the models separately. Inherently, Multi-task learning is a multi-objective optimization problem having trade-offs between different tasks...