نتایج جستجو برای: pareto optimal solutions
تعداد نتایج: 686059 فیلتر نتایج به سال:
In this paper,we present a newpopulation-basedMonte Carlomethod, so-calledMOMCMC (Multi-Objective Markov Chain Monte Carlo), for sampling in the presence of multiple objective functions in real parameter space. The MOMCMC method is designed to address the ‘‘multi-objective sampling’’ problem, which is not only of interest in exploring diversified solutions at the Pareto optimal front in the fun...
Innovization (innovation through optimization) is a relatively new concept in the field of multi-objective engineering design optimization. It involves the use of the Pareto-optimal solutions of a problem, to unveil hidden mathematical relationships between variables, objectives and constraint functions. Since the relationships themselves come from the Pareto-optimal dataset, they can be though...
T extant supply chain management literature has not addressed the issue of coordination in supply chains involving risk-averse agents. We take up this issue and begin with defining a coordinating contract as one that results in a Pareto-optimal solution acceptable to each agent. Our definition generalizes the standard one in the risk-neutral case. We then develop coordinating contracts in three...
Abstract A well-established heuristic approach for solving bicriteria optimization problems is to enumerate the set of Pareto-optimal solutions. The heuristics following this principle are often successful in practice. Their running time, however, depends on number enumerated solutions, which exponential worst case. We study integer model smoothed analysis, inputs subject a small amount random ...
Evolutionary algorithms EA have proved to be well suited for optimization prob lems with multiple objectives Due to their inherent parallelism they are able to capture a number of solutions concurrently in a single run In this report we propose a new evolutionary approach to multicriteria optimization the Strength Pareto Evolutionary Algorithm SPEA It combines various features of previous multi...
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