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multi-objective test problem

A benchmark test problem toolkit for multi objective path optimization

A benchmark test problem toolkit for multi objective path optimization

... reported test problem toolkits, here we can compare the number of true Pareto optimal solutions found by GAs, and then precisely evaluate and even rank the performance of GAs or GA design ...how ...

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Multi-line distance minimization: A visualized many-objective test problem suite

Multi-line distance minimization: A visualized many-objective test problem suite

... Nevertheless, there do exist some algorithms which scale up badly with the number of objectives. They include ǫ- MOEA, SMS-EMOA, MOEA/D-TCH, MOEA/D-PBI, HypE and NSGA-III. It is worth mentioning that all of these algo- ...

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Test Problem Construction for Single-Objective Bilevel Optimization

Test Problem Construction for Single-Objective Bilevel Optimization

... SMD test problems are summarized in Table ...12 test problems are a good mix of various difficulties, which we discussed in the prior ...last test problem can be observed to contain most of ...

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Fuzzy Goal Programming to Optimization the Multi-Objective Problem

Fuzzy Goal Programming to Optimization the Multi-Objective Problem

... are multi-objective in nature and their solution requires consideration of conflicting ...the problem is required in discriminating between solutions, eliminating the unwanted ones and accepting the ...

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An Advanced Ant Colony Algorithm for Constrained Multi objective Optimization Problem

An Advanced Ant Colony Algorithm for Constrained Multi objective Optimization Problem

... the test problems with those of other literatures, the proposed algorithm improves the maximum dispersion range and convergence of the solution set, and can better reflects the relationship between the ...

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A Multi-Level Multi-Objective Quadratic Programming Problem with Fuzzy Parameters in Constraints

A Multi-Level Multi-Objective Quadratic Programming Problem with Fuzzy Parameters in Constraints

... (MLMOQP) problem, the interactive approach through the satisfactoriness concept,ε -constraint method and The Kth best method is ...(MLMOQP) problem according to the minimal satisfactoriness constant and ...

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Accelerating Large-scale Multi-objective Optimization via Problem Reformulation

Accelerating Large-scale Multi-objective Optimization via Problem Reformulation

... Taking the variable analysis based approaches as an exam- ple, an experimental comparison is conducted on bi-objective LSMOP8 with 200 decision using LMEA, MOEA/DVA, and NSGA-II, where the decision variables of ...

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Multi-objective Cost Varying Transportation Problem using Fuzzy Programming

Multi-objective Cost Varying Transportation Problem using Fuzzy Programming

... a multi-objective transportation problem whose transportation cost is varying due to capacity of 2 -vehicles as well as transport ...-vehicle multi-objective cost varying transportation ...

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Multi-Line distance minimization: A visualized many-objective test problem suite

Multi-Line distance minimization: A visualized many-objective test problem suite

... and NSGA-III. It is worth mentioning that all of these algo- rithms do not use directly density-based methods in diversity maintenance. -MOEA maintains the population diversity by the dominance, SMS-EMOA and HypE rely on ...

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Necessary Optimality Conditions for Multi Objective Semi Infinite Variational Problem

Necessary Optimality Conditions for Multi Objective Semi Infinite Variational Problem

... Programming Problem (SIP) [1]-[3] is an optimization problem in which the index set of in- equality constraints is an arbitrary and not necessarily finite ...

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Multi Objective Particle Swarm Optimization for A Dynamic Cell Formation Problem

Multi Objective Particle Swarm Optimization for A Dynamic Cell Formation Problem

... (10) All machine types are assumed to be multi-purposed ones. Thus, each machine type can perform one or more operations without incurring a modification cost. Likewise, each operation-part can be performed on ...

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On Solving a Multi-Objective Intuitionistic Fuzzy Linear Fractional Programming Problem

On Solving a Multi-Objective Intuitionistic Fuzzy Linear Fractional Programming Problem

... a multi-objective intuitionistic fuzzy linear fractional programm - ing problem is discussed with two different methods namely Kanti Swarup’s Fractional algorithm and weighting factor method in which ...

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Using Genetic Algorithm to Generate Pareto Front in Multi Objective Problem

Using Genetic Algorithm to Generate Pareto Front in Multi Objective Problem

... Business must minimized time and cost for their operational activity. By doing this, customer can increase their satisfaction. In order to fulfill every order, one of core activity was material order process. Material ...

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e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem

e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem

... In many fields one encounters the challenge of identifying out of a pool of possible designs those that simultaneously optimize multiple objectives. In many applications an exhaustive search for the Pareto-optimal set is ...

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TOPSIS APPROACH TO CHANCE CONSTRAINED MULTI - OBJECTIVE MULTI- LEVEL QUADRATIC PROGRAMMING PROBLEM

TOPSIS APPROACH TO CHANCE CONSTRAINED MULTI - OBJECTIVE MULTI- LEVEL QUADRATIC PROGRAMMING PROBLEM

... Pramanik and Banerjee [17] developed chance constrained BLPP with quadratic objective functions. In their study [17] they converted chance constraints into deterministic constraints and solved the problem ...

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A multi-objective vibration damping meta-heuristic algorithm for multi-objective p-robust supply chain problem with travel time

A multi-objective vibration damping meta-heuristic algorithm for multi-objective p-robust supply chain problem with travel time

... chain problem in form of a mixed-integer programming (MIP) ...a multi-commodities capacitated supply chain model and proposed defective products assumption and capacity constraint as their research ...a ...

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Fuzzy Programming With Quadratic Membership Functions For Multi-objective Transportation Problem

Fuzzy Programming With Quadratic Membership Functions For Multi-objective Transportation Problem

... solution for MOTP was obtained by Bit.et.al[4] using fuzzy programming technique with linear membership functions. Bit.et.al[6], have also presented an additive fuzzy programming model that considers weights and ...

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Solution of Multi-Objective Transportation Problem Via Fuzzy Programming Algorithm

Solution of Multi-Objective Transportation Problem Via Fuzzy Programming Algorithm

... This section shall discuss how multi-objective transportation problem is solved using the algorithm discussed in the previous section. The data for this paper were collected by an egg dealer in whose ...

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Multi-objective optimization of population partitioning problem under interval uncertainty

Multi-objective optimization of population partitioning problem under interval uncertainty

... partitioning problem with optimal allocation of services (Pezzella, Bonanno, & Nicoletti, ...partitioning problem to deal with home health care ...partitioning problem as a mixed integer ...

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Dynamic Particle Swarm Optimization to Solve Multi-objective Optimization Problem

Dynamic Particle Swarm Optimization to Solve Multi-objective Optimization Problem

... Particle swarm optimization is a global optimization algorithm for dealing with problems in which a best solution can be represented as a point or surface in an n-dimensional space.. Hy[r] ...

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