[PDF] Top 20 On the solution of min-max problems in robust optimization
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On the solution of min-max problems in robust optimization
... most robust solution and provide a lower limit on the achiev- able performance of the ...The optimization of the worst case scenario translates into the solution of a global ... See full document
6
An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimization
... an optimization under uncertainty into a single or multi-objective min-max problem equivalent to a worst-case scenario optimization ...a min- max problem on multi-modal ...the ... See full document
8
A memetic approach to the solution of constrained min-max problems
... the solution of constrained min-max problems that derive from the optimal design of complex systems under worst-case ...worst-case solution under ...design solution that is ... See full document
8
Analysis of two algorithms for multi-objective min-max optimization
... multi-objective min-max problems, such as the ones that arise in evidence-based robust ...are robust under epistemic uncertainty if they maximize the Belief in the realization of the ... See full document
13
Variable sized uncertainty and inverse problems in robust optimization
... nominal solution within each instance class, ...for problems within each ...nominal solution is also the optimal solution for the regret problem is ...inverse problems in seconds, ... See full document
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On ϵ solutions for robust fractional optimization problems
... (approximate solution), many authors have established -opti- mality conditions and -duality theorems for several kinds of optimization problems ...convex optimization problems with ... See full document
21
Analysis and Optimization of Max Flow Min cut
... computations. They proposed a Gomory Hu tree(minimum cut tree) which needs to create through the process and which gives the exact value of maximum flow of min-cut through that network. Since then many scientist ... See full document
6
Renewable energy sharing among base stations as a min-cost-max-flow optimization problem
... Sumei Sun (F’16) is currently the Head of the Communications and Networks Cluster, Institute for Infocomm Research, Agency for Science, Technol- ogy, and Research, Singapore, focusing on smart communications and networks ... See full document
13
Elitist-Mutated Ant System Versus Max-Min Ant System: Application to Pipe Network Optimization Problems
... Figure 6 is representative of both the number of GBS and MPIS as these have been found to be virtually the same. It is interestingly seen that the PRM introduces enough exploitation into the algorithm, even when no ... See full document
11
User Association for Load Balancing in 5G Network Based on Min Max Optimization
... 0-1 min-max linear optimization model is established to describe the problem mathematically and ...optimal solution and its time complexity is O(mnlogn), where m, n are the amount of cells and ... See full document
6
A New Approach to Solve Transportation Problems with the Max Min Total Opportunity Cost Method
... ABSTRACT: In this paper, we are trying to find the optimum solution of a transportation problem and is to minimize the cost. The current new algorithmic approach to solve the transportation problem is based upon ... See full document
5
METAHEURISTICS: A SOLUTION FROM DATABASE OPTIMIZATION PROBLEMS TO BIG DATA OPTIMIZATION PROBLEMS
... colony optimization. This algorithm is used to solve discrete optimization problem ...and min- max ant system ...colony optimization algorithm is used to solve portfolio ... See full document
18
A Robust Archived Differential Evolution Algorithm for Global Optimization Problems
... constrained problems, where the penalty parameters could be automatically updated so as to obtain a near identical minimum solution despite wide variation in the initial penalty ...solve problems ... See full document
8
Strong and total Fenchel dualities for robust convex optimization problems
... these problems, v(P ) and v(D), respectively, satisfy the so-called weak duality ...optimal solution, and guarantee the converse strong duality, which corresponds to the situation in which v(P ) = v(D) and ... See full document
21
Representative scenario construction and preprocessing for robust combinatorial optimization problems
... point solution is around 17% larger than the bound provided by our approach with k = 2 or k = ...The max-min approach (denoted by MM) performs slightly better than our approach (Mid-Post is on ... See full document
15
Survey of Fuzzy Min Max Neural Network and Variants
... a solution to this all, FMMNs are proposed for pattern classification (supervised learning) and pattern clustering (unsupervised ...fuzzy min-max neural network (FMMN) is capable to perform the ... See full document
6
On scenario aggregation to approximate robust combinatorial optimization problems
... In the proposed aggregation scheme (see Figure 1) always two consecutive scenarios are aggregated. This rule is arbitrary. In the second experiment, we test if a more so- phisticated aggregation rule can lead to an ... See full document
12
Unifying View on Min Max Fairness, Max Min Fairness, and Utility Optimization in Cellular Networks
... a max-min fair al- location which is in general not ...the min-max fair allocation can be designed to solve either of the two problems (50) or ... See full document
20
Heuristic Algorithm for Min-max Vehicle Routing Problems
... It can be known that new tabu search algorithm in the study all get the much higher solution during the course of ten times from table 2. The average value of total distance is 1092.109(km) and the average using ... See full document
6
On the Cross-Entropic Regularization Method for Solving Min-Max Problems
... non-smooth optimization methods, the smoothing technique has been used for the min-max since the early 70s([8]), (see also [3], [9], [10], [11], [12], ...the max function by certain smooth ... See full document
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