Genetic Programming

The approach described in this paper integrates an interactive framework with users into our previous technique to automatically construct algorithms that derive loading patterns adapted to user objectives and/or preferences.

Notice All materials on this page are author’s versions, not necessarily coincide with final published versions.

This paper integrates an interactive framework into Automatic Construction technique of Loading Algorithms based on Cartesian Genetic Programing (ACLA-CGP).

This paper proposes an automatic construction technique of transferable loading algorithms based on Cartesian Genetic Programming. The proposed method aims to construct the loading algorithm with a few hundred fitness evaluations by optimizing the execution order of rules to decide a type of multiple cardboard boxes and their loadable positions simultaneously.

本論文では，定義された目的関数のもとで，Cartesian genetic programming（CGP）を用いた転移利用可能な積み付けアルゴリズムの自動生成技術を提案する．提案法では，積み付け候補から選択する基準として選択ルールを複数定義し，その実行順位を出力するモ …