Tag: Pareto front

Researchers have developed a fuzzy multi-objective solid transportation model that simultaneously optimizes cost, transit time, and route security under uncertainty ...

Researchers have combined deep reinforcement learning with evolutionary computation to create an algorithm that adaptively selects genetic operators and transfers ...

Researchers at KAIST have developed a two-stage optimization framework that embeds launcher-dependent deployment constraints directly into satellite constellation pattern design, ...

Researchers in China have developed an evolutionary algorithm that classifies decision variables into convergence and diversity roles and uses a ...

A comprehensive new review maps six families of constrained multi-objective evolutionary algorithms, their constraint handling techniques, benchmark tests, and the ...

Researchers have developed a parameter-free multi-objective particle swarm optimizer that uses automatic clustering to find multiple sets of optimal solutions ...

Researchers have extended the nature-inspired Artificial Ecosystem-based Optimization algorithm into a multi-objective framework that combines an external archive, shift-based density ...

Researchers at Yanshan University have developed a multi-objective multitasking optimization algorithm that uses adaptive knowledge transfer and manifold learning to ...