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

In This paper we present a genetic algorithm for mulicriteria optimization ofa multipickup and delivery problem with time windows (m-PDPTW). The m-PDPTW isan optimization vehicles routing problem which must meet requests for transportbetween suppliers and customers satisfying precedence, capacity and timeconstraints. This paper purposes a brief literature review of the PDPTW,present an approach based on genetic algorithms and Pareto dominance method togive a set of satisfying solutions to the m-PDPTW minimizing total travel cost,total tardiness time and the vehicles number.

Genetic Algorithm for Mulicriteria Optimization of a Multi-Pickup and Delivery Problem with Time Windows