Results 251 to 260 of about 1,901,574 (295)

Multi-objective Trajectory Optimization Problem

2019
In this chapter, the SMV trajectory optimization problem established in the previous chapter is reformulated and extended to a multi-objective continuous-time optimal control model. Because of the discontinuity or nonlinearity in the vehicle dynamics and mission objectives, it is challenging to generate a compromised trajectory that can satisfy ...
Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai   +3 more
openaire   +1 more source

Multi-objective k-Center Sum Clustering Problem

2015
Given a set P of n objects in two dimensional plane and a positive integer k ( ≤ n), we have considered the problem of partitioning P into k clusters of circular shape so as to minimize the following two objectives: (i) the sum of radii of these k circular clusters and (ii) the number of points of P covered by more than one circular cluster.
Atta, Soumen, Sinha Mahapatra, Priya Ranjan   +1 more
openaire   +2 more sources

Multi-Objective Quantum Evolutionary Algorithm for Discrete Multi-Objective Combinational Problem

2010 International Conference on Technologies and Applications of Artificial Intelligence, 2010
Weighted linear scalar, which transfers a multiobjective problem to many single objective sub-problems, is a basic strategy in traditional multi-objective optimization. However, it is not well used in many multi-objective evolutionary algorithms because of most of them are lack of balancing between exploitation and exploration for all sub-problems ...
Xin Wei, Shigeru Fujimura
openaire   +1 more source

Multi-objective Solid Transportation Problem in Uncertain Environment

Iranian Journal of Science and Technology, Transactions A: Science, 2017
Although new information technologies decrease information and transaction costs, transportation problem of physical goods are still relevant. Globalization of trade increased the uncertainty that companies are facing, it also increased the importance of supply chain management in world economies drastically.
Dalman, Hasan, Sivri, Mustafa
openaire   +3 more sources

An Orthogonal Multi-objective Evolutionary Algorithm for Multi-objective Optimization Problems with Constraints

Evolutionary Computation, 2004
In this paper, an orthogonal multi-objective evolutionary algorithm (OMOEA) is proposed for multi-objective optimization problems (MOPs) with constraints. Firstly, these constraints are taken into account when determining Pareto dominance. As a result, a strict partial-ordered relation is obtained, and feasibility is not considered later in the ...
Sanyou Y, Zeng, Lishan S, Kang, Lixin X, Ding   +2 more
openaire   +2 more sources

A multi-objective transportation routing problem

Operational Research, 2015
This paper presents a variant of vehicle routing problem, incorporating factors of transportation costs in conjunction with adverse situations. The effects of hazardous materials (HazMat) transportation are examined on air-pollution exposure levels, as well as the risk and damage in the case of accidents.
Dimitra Alexiou, Stefanos Katsavounis
openaire   +1 more source

Multi-objective Jaya Algorithm for Solving Constrained Multi-objective Optimization Problems

2019
Solving multi-objective optimization problems (MOPs) is a challenging task since they conflict with each other. In addition, incorporation of constraints to the MOPs, called CMOPs for a short, increases their complexity. Traditional multi-objective evolutionary algorithms (MOEAs) treat multiple objectives as a whole while solving them.
Y. Ramu Naidu, A. K. Ojha, V. Susheela Devi   +2 more
openaire   +1 more source

Approximation in multi-objective problems

2007
Le chapitre propose une introduction au domaine de l'optimisation combinatoire multicritère. L'accent est mis sur la complexité de problèmes classiques ainsi que sur des techniques et approches pour l'approximation polynomiale.
Angel, Eric, Bampis, Evripidis, Gourvès, Laurent   +2 more
openaire   +1 more source

Simulated Annealing for Multi Objective Optimization Problems

1994
In the last decade some large scale combinatorial optimization problems have been tackled by way of a stochastic technique called ‘simulated annealing’ first proposed by Kirkpatrick et al. (1983). This technique has proved to be a valid tool to find acceptable solutions for problems whose size makes impossible any exact solution method.
openaire   +2 more sources

A multi-objective shortest path problem

Mathematical Methods of Operations Research, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source