Heuristics for the Maximal Diversity Selection Problem
نویسنده
چکیده
منابع مشابه
A New Heuristic Solution Method for Maximal Covering Location-Allocation Problem with M/M/1 Queueing System
We consider the queueing maximal covering location-allocation problem (QM-CLAP) with an M/M/1 queueing system. We propose a new solution procedure based on decomposition of the problem into smaller sub-problems. We solve the resulting sub-problems both with a branch and bound algorithm and with the meta-heuristic GRASP. We also solve the entire model with GRASP. Computational results for these ...
متن کاملAn integrated approach for scheduling flexible job-shop using teaching–learning-based optimization method
In this paper, teaching–learning-based optimization (TLBO) is proposed to solve flexible job shop scheduling problem (FJSP) based on the integrated approach with an objective to minimize makespan. An FJSP is an extension of basic job-shop scheduling problem. There are two sub problems in FJSP. They are routing problem and sequencing problem. If both the sub problems are solved simultaneously, t...
متن کاملImproved teaching–learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems
Flexible flow shop (or a hybrid flow shop) scheduling problem is an extension of classical flow shop scheduling problem. In a simple flow shop configuration, a job having ‘g’ operations is performed on ‘g’ operation centres (stages) with each stage having only one machine. If any stage contains more than one machine for providing alternate processing facility, then the problem...
متن کاملA Hybrid Solution Approach Based on Benders Decomposition and Meta-Heuristics to Solve Supply Chain Network Design Problem
Supply Chain Network Design (SCND) is a strategic supply chain management problem that determines its configuration. This mainly focuses on the facilities location, capacity sizing, technology selection, supplier selection, transportation, allocation of production and distribution facilities to the market, and so on. Although the optimal solution of the SCND problem leads to a significant reduc...
متن کاملAn optimization technique for vendor selection with quantity discounts using Genetic Algorithm
Vendor selection decisions are complicated by the fact that various conflicting multi-objective factors must be considered in the decision making process. The problem of vendor selection becomes still more compli-cated with the inclusion of incremental discount pricing schedule. Such hard combinatorial problems when solved using meta heuristics produce near optimal solutions. This paper propose...
متن کامل