[HTML][HTML] MOODY: An ontology-driven framework for standardizing multi-objective evolutionary algorithms
The application of semantic technologies, particularly ontologies, in the realm of multi-
objective evolutionary algorithms is overlook despite their effectiveness in knowledge …
objective evolutionary algorithms is overlook despite their effectiveness in knowledge …
Building and using an ontology of preference-based multiobjective evolutionary algorithms
Integrating user preferences in Evolutionary Multiobjective Optimization (EMO) is currently a
prevalent research topic. There is a large variety of preference handling methods (originated …
prevalent research topic. There is a large variety of preference handling methods (originated …
Exploiting linear interpolation of variational autoencoders for satisfying preferences in evolutionary design optimization
In the early design phase of automotive digital development, one of the key challenges for
the designer is to consider multiple-criteria like aerodynamics and structural efficiency …
the designer is to consider multiple-criteria like aerodynamics and structural efficiency …
A new approach to target region based multiobjective evolutionary algorithms
In this paper, a target region based multiobjective evolutionary algorithm framework is
proposed to incorporate preference into the optimization process. It aims at finding a more …
proposed to incorporate preference into the optimization process. It aims at finding a more …
[PDF][PDF] Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems
SA Yasear - Diss. Universiti Utara Malaysia, 2020 - core.ac.uk
Multi-objective swarm intelligence-based (MOSI-based) metaheuristics were proposed to
solve multi-objective optimization problems (MOPs) with conflicting objectives. Harris's hawk …
solve multi-objective optimization problems (MOPs) with conflicting objectives. Harris's hawk …