Performance of evolutionary algorithms depends on many factors such as population size,
number of generations, crossover or mutation probability, etc. Generating the initial …

This paper presents an adaptive evolutionary approach incorporating a hybrid genetic
algorithm (GA) for public transport crew scheduling problems, which are well-known to be …

Crew scheduling for bus drivers in large bus agencies is known to be a time‐consuming and
cumbersome problem in transit operations planning. This paper investigates a new meta …

Featured Application Small and medium enterprises with complex production systems,
involving multi-level product structures and co-production configurations, would use the …

In this article a model and a solution methodology is presented to solve the transmission
network expansion problem, considering the selection of the wire size and the construction …

This paper presents a method to solve multistage transmission expansion planning problem
(MTEP) for highly complex systems. The method includes three partition criteria to separate …

Neste trabalho é apresentado um Algoritmo Híbrido para resolver o problema de
Planejamento da Expansão de Redes Aéreas de Média Tensão. O Algoritmo Híbrido utiliza …

En este artículo se presenta una metodología de solución para resolver el problema de
planeamiento estático de redes de transmisión de energía eléctrica, considerando …

This paper presents a method to solve spatial network planning (SNP) in power systems
expansion. SNP is an integration of transmission expansion planning (TEP) and optimal line …

En este artículo se presenta una propuesta de solución para resolver el problema de
planeamiento de la expansión de redes de transmisión de energía eléctrica, considerando …