Multiobjective Tabu Search with mixed integers and reference point

 

Đã lưu trong:
Chi tiết về thư mục
Tác giả: Beausoleil, Ricardo P.
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2018
Miêu tả:In this work we present a domain-independent Tabu Search approach for multiobjective optimization with mixed-integer variables. In this we investigate two aspects: domain-independence and applicability in optimization practice and focus our attention in problems that appear frequently in the real world, like logistic network (for example: multi-stage distribution networks problems, location-allocation problems, time-tabling problems); however, other classical problems were investigated, like: coverage set problem, partitioning set problem, multidimentional knapsack problem and shortest path problem. All these problems belong to the NP-hard class, with a great number of decision variables, containing a great number of heterogeneous constrains, presenting a challenge to find feasible solutions.
Quốc gia:Portal de Revistas UCR
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Ngôn ngữ:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/32234
Truy cập trực tuyến:https://revistas.ucr.ac.cr/index.php/matematica/article/view/32234
Từ khóa:multiple objetives
metaheuristics
tabu sea
múltiples objetivos
metaheurísticas
búsqueda tabú