Search
Search Results
-
Deep multi-layer perceptron-based evolutionary algorithm for dynamic multiobjective optimization
Dynamic multiobjective optimization problems (DMOPs) challenge multiobjective evolutionary algorithms (MOEAs) because of the varying Pareto-optimal...
-
A prediction method for dynamic multiobjective optimization based on joint subspace and correlation alignment
Dynamic multiobjective optimization is a significant challenge in accurately capturing changes in Pareto optimal sets (PS), encompassing both...
-
Improving two-layer encoding of evolutionary algorithms for sparse large-scale multiobjective optimization problems
Sparse large-scale multiobjective problems (LSMOPs) are characterized as an NP-hard issue that undergoes a significant presence of zero-valued...
-
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...
-
Solving large-scale multiobjective optimization via the probabilistic prediction model
The characteristic of large-scale multiobjective optimization problems (LSMOPs) is optimizing multiple conflicting objectives while considering...
-
Multiobjective Particle Swarm Optimization for the Hydro–Thermal Power Scheduling Problem
The Hydro–thermal Power Scheduling Problem is a dynamic multiobjective optimization problem which arises in the context of power generation systems....
-
Puncture site decision method for venipuncture robot based on near-infrared vision and multiobjective optimization
Venipuncture robots have superior perception and stability to humans and are expected to replace manual venipuncture. However, their use is greatly...
-
Introducing Set-Based Regret for Online Multiobjective Optimization
Interest in online optimization (OO) has grown as learning algorithms have become more prominent. While OO has been studied extensively for...
-
Multiobjective design optimization of transformers for battery cell balancing converters considering bidirectional power flow
Owing to an increase in the demand for bidirectional applications such as battery energy storage systems (BESS), isolated bidirectional converters...
-
Modeling and optimization of multiobjective programming problems in neutrosophic hesitant fuzzy environment
Multiobjective optimization techniques have much importance while solving real-life problems. There may get chances of neutral thoughts and...
-
Comparative Analysis of Metaheuristic Algorithms for Standard Dynamic Multiobjective Optimization Problems
Dynamic Multiobjective Optimization Problems (DMOPs) are those involving multiple conflicting objectives to be simultaneously optimized subject to a...
-
Multiobjective reliability-based design optimization approach using the gray system and evidence theory
Aimed at the subjectivity of selecting the weight of each objective function in the process of multiobjective reliability-based design optimization...
-
Multiobjective design optimization of reinforced concrete beam coupled with market practice based constructability function using simulated annealing
Design optimization of reinforced concrete beams has been one of the top research areas in the past few decades. Yet, it is not being implemented in...
-
Robust Multiobjective Trajectory Optimization for Hypersonic Telescopic Wing Morphing Aircraft
Due to the influence of uncertainty in the reentry trajectory of hypersonic aircraft, it is difficult with conventional deterministic trajectory...
-
Multiobjective and multicollision scenario reliability-based design optimization of honeycomb-filled composite energy-absorbing structures for subways
A honeycomb-filled composite energy-absorbing structure (HCES) installed at the front end of a subway has an extensive range of application prospects...
-
Environmental economic dispatch method of power system based on multiobjective artificial bee colony algorithm
A multiobjective environmental economic dispatching model of power system is established with minimum economic cost and pollution emission as the...
-
Multiobjective Optimization of Airline Crew Management with a Genetic Algorithm
In this paper we discuss the real-world problem of crew management in the airline business. We focus on modeling the optimization of the crew...
-
Multiobjective multitasking optimization assisted by multidirectional prediction method
Multiobjective multitasking optimization (MTO) is an emerging research topic in the field of evolutionary computation, which has attracted extensive...
-
Regression-based multiobjective optimization approaches for the autoclave composite parts placement problem: a mixed integer nonlinear programming model and an evolutionary algorithm
The autoclave curing process is an important step in composite parts production, in which a batch of parts is cured in an autoclave simultaneously by...
-
Decision space information driven algorithm for dynamic multiobjective optimization with a changing number of objectives
Dynamic multiobjective optimization problems (DMOPs) with a changing number of objectives receive little attention, but they exist widely in real...
