A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …

Combining ant colony optimization (ACO) and the multiobjective evolutionary algorithm (EA)
based on decomposition (MOEA/D), this paper proposes a multiobjective EA, ie, MOEA/D …

Combining ideas from evolutionary algorithms, decomposition approaches, and Pareto local
search, this paper suggests a simple yet efficient memetic algorithm for combinatorial …

The application of evolutionary algorithms to wind turbine blade design can be interesting,
by reducing the number of aerodynamic-to-structural design loops in the conventional …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

In this letter, we propose a scheme to modify robust Soliton distribution (RSD) with respect to
the expected ripple size. We only adjust the proportion of degree 1, degree 2 and the …

Regular maintenance is paramount for a healthy road network, the arteries of any economy.
As the resources for maintenance are limited, optimization is necessary. A number of …

Fountain codes, originally developed for reliable multicasting in communication networks,
are effectively applied in various data transmission and storage systems. Their recent use in …

Designing short Luby transformation (LT) codes with low overhead and good error
performance is crucial and challenging for the deployment of vehicle-to-everything networks …

Luby transform (LT) codes are often employed during best-effort packet transfers to offer
rateless erasure protection. Efficient as they are, these randomized codes with a small …