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Pareto Optimal Coordination on Roadmaps
Given a collection of robots sharing a common environment, assume that each possesses an individual roadmap for its C-space and a cost function for... -
Determination of Pareto-Optimal Solutions to the Problem of Multicriteria Selection
The problem of multi-criteria selection with the construction of a Pareto-optimal subset of solutions is considered. The presence of a set of... -
A Novel Graph-Theoretical Approach of Selecting Representative Pareto Optimal Solutions for Multi-objective Optimization Problems
The real-world problems often pose as multi-objective with competing objectives. Unlike single-objective optimization problems, multi-objective... -
Pareto optimal solution set strategy based on multiobjective optimization for the clinching tools
The geometric size of clinching tools determines the geometric size and strength of the clinched joints. This study establishes an orthogonal...
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Evolutionary Approaches for Multi-objective Optimization and Pareto-Optimal Solution Selection in Data Analytics
Data analytics analyses complicated healthcare, manufacturing, and other datasets to find insights. It works with real-world limits and can optimize... -
Pareto optimal design of a fuzzy adaptive sliding mode controller for a three-link model of a biped robot via the multi-objective improved team game algorithm
The control problem of a biped robot is scientifically challenging work because it is an unstable, multi-input–multi-output and extremely nonlinear...
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Determining All Pareto-Optimal Paths for Multi-category Multi-objective Path Optimization Problems
Increasing criteria have been involved in the path evaluation, and path optimization with multiplicative objectives becomes essential in the real... -
Adaptive Pareto Optimal Control of T–S Fuzzy System with Input Constraints and Its Application
This paper proposes an adaptive Pareto optimal control scheme for a general class of multi-objective T–S fuzzy systems subject to input constraints....
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Machine learning-based framework to cover optimal Pareto-front in many-objective optimization
One of the crucial challenges of solving many-objective optimization problems is uniformly well covering of the Pareto-front (PF). However, many the...
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Decarbonizing Industrial Logistics Through a GIS-Based Approach for Identifying Pareto-Optimal Combined Road-Rail Transport Routes
The urge to reduce greenhouse gas emissions is omnipresent in all sectors. Freight transport is responsible for approximately 14% of European... -
Searching for Pareto-Optimal Solutions
The problem of narrowing the Pareto set is considered. The existing approaches aimed at solving the problem of finding a set of Pareto optimal... -
Existence Conditions of Pareto Solutions in Infinite Horizon Stochastic Differential Games
This chapter investigates Pareto optimality in infinite horizon stochastic differential games. Employing the equivalent description of Pareto... -
Time-cost trade-off optimization model for retrofitting planning projects using MOGA
This paper introduces a novel Time-Cost Trade-Off Optimization Model (TCTOM) tailored for retrofitting projects in densely populated areas like...
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Coordination of protections as a multi-objective problem, and Pareto frontiers relating speed and selectivity in the particular case of directional overcurrent functions
This article shows the formal formulation of the coordination of protections as the multi-objective problem of simultaneous maximization of desired...
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Multi-objective social group optimization for machining process
A multi-objective social group optimization (MOSGO) is proposed in this study as a method for resolving problems with multiple objectives. The...
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Optimizing sustainable construction projects through LNSGA III: a time-cost-environmental impact trade-off approach
Within the construction project management, environmental concerns often outweigh time and cost considerations. However, with increasing awareness of...
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An Efficient Multi-objective Approach Based on Golden Jackal Search for Dynamic Economic Emission Dispatch
Dynamic Economic Emission Dispatch (DEED) aims to optimize control over fuel cost and pollution emission, two conflicting objectives, by scheduling...
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Optimal allocation and sizing of DG and FCL units in distribution networks to ensure protection coordination and cost reduction
Despite many advantages of distributed generation (DG), it can have adverse effects on the network protection coordination by raising the...
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A Fuzzy Logic Approach of Pareto Optimality for Multi-objective Path Planning in case of Unmanned Surface Vehicle
Unmanned Surface Vehicles (USVs) are nowadays used in various applications for security, inspection and delivery among others. To operate in dynamic...
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MOIMPA: multi-objective improved marine predators algorithm for solving multi-objective optimization problems
This paper introduces a multi-objective variant of the marine predators algorithm (MPA) called the multi-objective improved marine predators...