Pareto-optimal solutions set
Efficient Multiobjective Genetic Algorithm for Solving Transportation, Assignment, and Transshipment Problems
... the (GA) uses a finite memory, successively updates a finite subset of vectors that dominate all vectors gener- ated so far. It guarantees that the subset contains only one element which are not dominated by any of the ...
8
Reliable Pareto Solutions for Multiple Objective Scheduling Problems
... the optimal number of clusters, the data was grouped into k ...all solutions contained in a group, is to identify what solution is the closest to its ...general solutions to analyze, instead of all ...
8
Robust portfolio optimization based on minimax regret approach in Tehran stock exchange market
... 5 Pareto fronts correspond to each one of the considered ...the Pareto set that are more robust which presents lower minimax regret ...the optimal portfolios of the individual ...the ...
12
Multiobjective optimal design of friction stir welding considering quality and cost issues
... the Pareto-optimal solutions in 3-D and 2-D plots and Table 8 shows ten examples of the ...a set of well-spread Pareto-optional solutions close to these predefined objectives, ...
22
Interception and deviation of near Earth objects via solar collector strategy
... 80 solutions of the 500 points of the Pareto set in ...optimised solutions have the same launch date and time of flight as the Pareto points, but a different thrust profile ...the ...
16
A comparative assessment of different deviation strategies for dangerous NEO
... the optimal sets is the Pareto front constituted by all the sets that have higher fitness and lower cost than points corresponding to other choices of parameters and are said to be “dominated” by another ...
13
Hierarchical Multiobjective Stochastic Linear Programming Problems Considering Both Probability Maximization and Fractile Optimization
... In this paper, we focus on hierarchical multiobjective stochastic linear programming problems [11], and propose an interactive algorithm to obtain a satisfactory solution from among a Pareto optimal ...
8
Methods for multi-objective optimization: An analysis
... a set of single objective problems, which upon solution yield a good approximation of the set of optimal ...This set is commonly referred to as Pareto ...over Pareto-based ...
17
Optimizing a Two-stage Supply Chain System with Coordinated Scheduling
... total set-up cost of two stages and increasing the efficiency of the whole ...attribute, set-up cost was ...find optimal Pareto solutions in an appropriate ...
9
Interactive Fuzzy Decision Making for Hierarchical Multiobjective Stochastic Linear Programming Problems
... In this paper, we focus on hierarchical multiobjective stochastic linear programming problems, and propose an interactive algorithm to obtain a satisfactory solution from among a Pareto optimal solution ...
6
Framework to Identify Optimal Configurations of (De)Centralised Wastewater Systems, in Abu Dis, West Bank
... generated solutions were plotted on the objective function space, which allows for generating a Pareto ...a set of possibly non-dominated ...the solutions, the configurations with at least one ...
8
Multi-Objective Generation and Emission Dispatch Using NSGA-II
... The optimization of the above-formulated multi-objective formulation using NSGA-II yields set of Pareto optimal solutions [11], in which one objective cannot be improved without sacrificing ...
7
Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem
... a set of the best eclectic solutions called the Pareto optimal solu- ...multiple Pareto optimal solutions in a single run, and multiobjective EAs (MOEAs) have been very ...
8
Attribution of streamflow trends in snow and glacier melt-dominated catchments of the Tarim River, Central Asia
... a set of Pareto optimal (or nondominated) solutions instead of a single optimum ...the solutions belonging to this Pareto optimal set, none of the objective ...
25
Visualising the Landscape of Multi-Objective Problems using Local Optima Networks
... non-dominating solutions and neighbouring links, but not basin ...a set of locally optimal solutions, with basins and ease of transition between them ...or set-based (Pareto ...
9
Increasing the density of available pareto optimal solutions
... Abstract—The set of available multi-objective optimization algorithms continues to ...of solutions available to the decision maker ...additional Pareto optimal solutions from a ...
22
A Glorious Literature on Linear Goal Programming Algorithms
... suboptimal solutions which are not necessarily the “best” ones available to the deci- ...the optimal solution obtained by the lexicographic problem is Pareto ...feasible solutions; such a ...
13
A new nondominated sorting genetic algorithm based to the regression line For fuzzy traffic signal optimization problem
... a Pareto-optimal solution or a restrictive set of Pareto-optimal solutions based on our solution approaches to the problem, named PDNSGA (Non-dominated Sorting Genetic Algorithm ...
12
Multi-Objective Demand Side Scheduling Considering the Operational Safety of Appliances
... the Pareto-optimal ...the Pareto-optimal front consists of a set of optimal solutions, this paper proposes a method to make the final scheduling decision based on the ...
33
VEGA Based Routh-Padé Approximants ForDiscrete Time Systems : A Computer-Aided Approach
... of Pareto-optimality is proposed for the solution of Routh-Padé approximation ...generate Pareto-optimal solutions and the final solution is chosen based on the best fitness value of the ...
6