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Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems
Many problems in robotics seek to simultaneously optimize several competing objectives under constraints. A conventional approach to solving such...
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Computing Gap Free Pareto Fronts
So far, we have discussed the archiver that stores all non-dominated solutions out of the set of candidate solutions, and two archivers that are...
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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...
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Computing \(\epsilon \) -(approximate) Pareto Fronts
As we have seen in the last chapter, if all non-dominated solutions that have been found during the search are added to the archiver, we can expect...
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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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A comparative study on multi-objective pareto optimization of WEDM process using nature-inspired metaheuristic algorithms
Due to its ability to generate complex and intricate shape features on different hard-to-cut materials with minimum dimensional deviation and higher...
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Multiobjective portfolio optimization via Pareto front evolution
Portfolio optimization is about building an investment decision on a set of candidate assets with finite capital. Generally, investors should devise...
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N-PIR: A Neighborhood-Based Pareto Iterative Refinement Approach for High-Level Synthesis
The field of VLSI design faces the challenge of identifying the possible designs that simultaneously optimize the multiple conflicting objectives...
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A posteriori multiobjective techno-economic accommodation of DGs in distribution network using Pareto optimality and TOPSIS approach
Distributed generation (DG) integration with distribution networks has technical and economic implications. Solution for optimal DG accommodation...
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A low-sample-count, high-precision Pareto front adaptive sampling algorithm based on multi-criteria and Voronoi
In this paper, a Pareto front (PF)-based sampling algorithm, PF-Voronoi sampling method, is proposed to solve computationally intensive...
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The dilemma between eliminating dominance-resistant solutions and preserving boundary solutions of extremely convex Pareto fronts
It has been acknowledged that dominance-resistant solutions (DRSs) extensively exist in the feasible region of multi-objective optimization problems....
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An improved multi-objective bacterial colony chemotaxis algorithm based on Pareto dominance
This paper puts forward an improved multi-objective bacterial colony chemotaxis (MOBCC) algorithm based on Pareto dominance. A time-varying step size...
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PMDRL: Pareto-front-based multi-objective deep reinforcement learning
Most reinforcement learning research aims to optimize agents’ policies for a single objective. However, many real-world applications are inherently...
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A multi-objective cost-loss optimization framework for optimal feeder routing problem of radial distribution networks
Among the distribution network planning problems, feeder routing is one of the most important and challenging issues. Feeder routing is defined as...
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A multi-objective approach for optimal placement of renewable energy sources, voltage regulators and capacitors in radial unbalanced distribution systems
There are various challenges in integrating renewable energy sources (RES) into unbalanced distribution systems (UDS) due to the varying nature of...
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A problem-specific parallel pareto local search for the reactive decision support of a special RCPSP extension
The disaster information collection mission should be executed after the disaster occurs to provide details for the decision-makers. During the...
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Multi-Objective Optimal Power Flow Considering Offshore Wind Farm
In this chapter, a multi-objective optimization improves the power flow for electrical network integrating FACTS systems and renewable sources...
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A novel MOALO-MODA ensemble approach for multi-objective optimization of machining parameters for metal matrix composites
Machining of metal matrix composites (MMCs) has now become an essential task in sha** them to their final usable forms for various industrial...
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A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion
Surrogate-assisted many-objective optimization is to locate Pareto optimal solutions using a limited number of function evaluations. Most existing...
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Generating multiple reference vectors for a class of many-objective optimization problems with degenerate Pareto fronts
Many-objective optimization problems with degenerate Pareto fronts are hard to solve for most existing many-objective evolutionary algorithms. This...
