English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Split procedures have been proved to be efficient within global frameworkoptimization for routing problems by splitting giant tour into trips. This isdone by generating optimal shortest path within an auxiliary graph built fromthe giant tour. An efficient application has been introduced for the first timeby Lacomme et al. (2001) within a metaheuristic approach to solve theCapacitated Arc Routing Problem (CARP) and second for the Vehicle RoutingProblem (VRP) by Prins (2004). In a further step, the Split procedure embeddedin metaheuristics has been extended to address more complex routing problemsthanks to a heuristic splitting of the giant tour using the generation oflabels on the nodes of the auxiliary graph linked to resource management.Lately, Duhamel et al. (2010) defined a new Split family based on a depth firstsearch approach during labels generation in graph. The efficiency of the newsplit method has been first evaluated in location routing problem with a GRASPmetaheuristic. Duhamel et al. (2010) provided full numerical experiments onthis topic.

A GRASPxELS with Depth First Search Split Procedure for the HVRP