In this article, we propose a greedy randomized adaptive search procedure (GRASP) to generate good approximation of the efficient or Pareto optimal set multi-objective combinatorial optimization problem. The algorithm is based on all weighted linear utility functions. each iteration, preference vector defined and solution built considering preferences objective. found submitted local trying improve value function. order find variety solutions, use different vectors, which are distributed...

Abstract A phylogeny is a tree that relates taxonomic units, based on their similarity over set of characters. The problem consists in finding with the minimum number evolutionary steps. We propose new neighborhood structure for problem. greedy randomized adaptive search procedure heuristic this and using variable descent local described. Computational results randomly generated benchmark instances are reported, showing quite robust outperforms other algorithms literature terms solution...

Abstract A phylogenetic tree relates taxonomic units using their similarities over a set of characteristics. Given and characteristics, the phylogeny problem under parsimony criterion consists in finding with minimum number evolutionary steps. We developed hybrid genetic algorithm for building minimizing parsimony. The combines local search crossover strategy based on path‐relinking, an intensification technique originally used context other metaheuristics such as scatter GRASP....

We present, in this paper, a simulation model to evaluate the sugarcane supply system mills. The addressed, on whole, harvest operations (cutting and shipping), transportation unloading at mill (also considering reception of within mill). could adequately assess relation freight, lead time, fleet trucks discount (opposite agio), apart from cost cutting shipping, related amount be paid by load furnished mill.

In real optimization problems it is generally desirable to optimize more than one performance criterion (or objective) at the same time. The goal of multiobjective combinatorial (MOCO) simultaneously r > 1 objectives. As in single-objective case, use heuristic/metaheuristic techniques seems be most promising approach MOCO because their efficiency, generality and relative simplicity implementation. this work, we develop algorithms based on Greedy Randomized Adaptive Search Procedure (GRASP)...

Public administration is responsible for managing public resources and offering various types of services to the population. Therefore, ensure that maintenance state bodies carried out in a manner, both acquisition goods contracting services, it necessary carry bidding processes follow constitutional principles. In this way, use Multi-Criteria Decision Analysis (MCDA) methods can help decision makers solve selection problems institutions. context, objective paper select, from pre-defined...

Goal: to propose a hybrid method, combining AHP and Fuzzy, for project portfolio management.
 Originality/value: this paper meets the positive characteristics of both methods, adequately weighing criteria contemplating process subjectivity. Limitations that exist in such as maximum number alternatives difficulty inserting new at end process, are overcome.
 Design/methodology/approach: is applied determining weights fuzzy used compare each criterion.
 Results: results show...

We present, in this paper, a simulation model to evaluate the sugarcane supply system mills. The addressed, on whole, harvest operations (cutting and shipping), transportation unloading at mill (also considering reception of within mill). could adequately assess relation freight, lead time, fleet trucks discount (opposite agio), apart from cost cutting shipping, related amount be paid by load furnished mill.

This paper proposes different strategies of parallelizing a multi-criteria GRASP (Greedy Randomized Adaptive Search Problem) algorithm. The parallel algorithm is applied to the minimum spanning tree problem, which NP-hard. In this vector costs defined for each edge graph and goal find all efficient or Pareto optimal trees (Pareto-optimal solutions). Each process finds subset solutions. These subsets are joined using obtain final set with tested on complete graphs n = 20, 30 50 nodes r 2 3...

Goal: Propose hybrid heuristics combining VNS and Tabu Search (TS) for adding adaptability to University Course Timetabling Problem (UCTTP) resolution.
 Design / Methodology Approach: TS metaheuristics were used isolated in combination order verify which shape acquired the best solutions. Those verified using constraints found at two undergraduate courses of Federal Fluminense University. Effectiveness is by comparing them with solutions manually elaborated course coordinators.
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A Previdência Social é uma política pública que visa garantir benefícios monetários aos trabalhadores e suas famílias em momentos de incapacidade laboral, velhice ou morte. Contudo, o notório aumento do desequilíbrio financeiro-atuarial dos institutos previdência pode impedi-los cumprir obrigações por falta recursos. Tendo vista os Regimes Próprios (RPPS) aplicam seu capital fundos investimento para elevar seus ativos financeiros, a busca ferramentas possibilitem análise seleção exibem bons...