Results 11 to 20 of about 644,441 (293)
Uncertainty on Multi-objective Optimization Problems [PDF]
AIP Conference Proceedings, 2011 In general, parameters in multi‐objective optimization are assumed as deterministic with no uncertainty. However, uncertainty in the parameters can affect both variable and objective spaces. The corresponding Pareto optimal fronts, resulting from the disturbed problem, define a cloud of curves. In this work, the main objective is to study the resulting
Lino Costa +6 more
openaire +3 more sources
Tehnički Glasnik, 2023 In this paper, an approach to deal with the multi-objective programming problem is regulated by means of probability-based multi-objective optimization, discrete uniform experimental design, and sequential algorithm for optimization.
Maosheng Zheng, Haipeng Teng, Yi Wang
doaj +1 more source
Vojnotehnički Glasnik, 2023 Introduction/purpose: In this paper, a new solution for solving a multiobjective integer programming problem with probabilistic multi – objective optimization is formulated.
Maosheng Zheng, Jie Yu
doaj +1 more source
A multi-objective grey wolf optimization algorithm for aircraft landing problem [PDF]
Journal of Applied Research on Industrial Engineering, 2021 Air traffic management is an important job and often faces various problems. One of the most common problems in this area is the issue of aircraft sequencing, which is a multi-dimensional problem due to the large number of flights and their different ...
Manizheh Teimoori +3 more
doaj +1 more source
Multi-Guide Set-Based Particle Swarm Optimization for Multi-Objective Portfolio Optimization
Algorithms, 2023 Portfolio optimization is a multi-objective optimization problem (MOOP) with risk and profit, or some form of the two, as competing objectives. Single-objective portfolio optimization requires a trade-off coefficient to be specified in order to balance ...
Kyle Erwin, Andries Engelbrecht
doaj +1 more source
A hybrid multi-objective optimization algorithm for software requirement problem
Alexandria Engineering Journal, 2022 The process of selecting software requirements aims to identify the optimal set of requirements that enhances the value of a software release while keeping costs within the budget.
M.H. Marghny +3 more
doaj +1 more source
Mathematics, 2020 One of the main components of most modern Multi-Objective Evolutionary Algorithms (MOEAs) is to maintain a proper diversity within a population in order to avoid the premature convergence problem. Due to this implicit feature that most MOEAs share, their
Mohammed Mahrach +3 more
doaj +1 more source
A benchmark test problem toolkit for multi-objective path optimization [PDF]
, 2019 Due to the complexity of multi-objective optimization problems (MOOPs) in general, it is crucial to test MOOP methods on some benchmark test problems.
Hu, Xiao-Bing +5 more
core +1 more source
Evolutionary algorithm for multi-objective multi-index transportation problem under fuzziness
Journal of Applied Research on Industrial Engineering, 2020 An Improved Genetic Algorithm (I-GA) for solving multi-objective Fuzzy Multi–Index Multi-objective Transportation Problem (FM-MOTP) is presented. Firstly, we introduce a new structure for the individual to be able to represent all possible feasible ...
Mohammed A. El-Shorbagy +3 more
doaj +1 more source
Multi-Objective Robust Optimization for the Traffic Sensors Location Problem
IEEE Access, 2021 The main concern of this research is to control traffic flow and monitor highways by installing wireless sensors. Therefore, a new multi-objective model is proposed to find the optimal location of wireless sensors along highways.
Ashkan Ahmadi Fakhouri, Roya Soltani
doaj +1 more source