Transformer-Based Soft Actor-Critic for UAV Path Planning in Precision Agriculture IoT Networks. [PDF]
Ge G, Sun M, Xue Y, Pavlova S.
europepmc +1 more source
Multi-objective dung beetle optimization algorithm: A novel algorithm for solving complex multi-objective optimization problems. [PDF]
Wu W, Tian L, Wu J, Lin L.
europepmc +1 more source
Multi-objective optimal synthesis of robust control systems for plants exhibiting non-minimum phase and integrating behaviour. [PDF]
Neeharika MS, Shobhana V, Katal N.
europepmc +1 more source
A two-stage improved variable neighborhood search-sine cosine algorithm for the multi-row layout problem with safety consideration. [PDF]
Rifai AP, Sari WP.
europepmc +1 more source
Related searches:
Hyper multi-objective evolutionary algorithm for multi-objective optimization problems
Soft Computing, 2016Multi-objective optimization problems (MOPs) are very common in practice. To solve MOPs, many kinds of multi-objective evolutionary algorithms (MOEAs) are proposed. However, different MOEAs have different performances for different MOPs. Therefore, it is a time-consuming task to choose a suitable MOEA for a given problem.
Weian Guo, Ming Chen, Lei Wang, Qidi Wu
openaire +1 more source
Hybrid multi-objective genetic algorithm for multi-objective optimization problems
The 27th Chinese Control and Decision Conference (2015 CCDC), 2015As a result of important practical significance in real-world engineering applications, multi-objective optimization problem has been one of scientific problems concerned by many researchers. In recent years, genetic algorithm (GA) has begun to be widely used to solve a variety of multi-objective optimization problems due to its population-based search
Song Zhang +3 more
openaire +1 more source
Approximating multi-objective scheduling problems
Computers & Operations Research, 2013In many practical situations, decisions are multi-objective by nature. In this paper, we propose a generic approach to deal with multi-objective scheduling problems (MOSPs). The aim is to determine the set of Pareto solutions that represent the interactions between the different objectives.
Dabia, Said +3 more
openaire +5 more sources
Multi-objective Optimization Problem
2017This chapter discusses general aspects regarding multi-objective optimization. For this purpose, the state of the art is presented, considering basic concepts and definitions, mathematical formulation, optimality conditions, metrics for convergence and diversity, and methodologies to solve this kind of problem are discussed.
Fran Sérgio Lobato, Valder Steffen
openaire +1 more source
Multi-objective vehicle routing problems
European Journal of Operational Research, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jozefowiez, Nicolas +2 more
openaire +4 more sources
A Special Multi-Objective Assignment Problem
Journal of the Operational Research Society, 1984Summary: The following assignment problem is considered. There are n activities to be assigned to n personnel. The cost of assigning activity i to person j is \(c_{ij}\). It is required to find all the efficient assignments, i.e. those for which there exists no other assignment which has at least as small costs for each person and strictly smaller ...
openaire +2 more sources

