A Compromise Programming for Multi-Objective Task Assignment Problem
Computers, 2021 The problem of scheduling is an area that has attracted a lot of attention from researchers for many years. Its goal is to optimize resources in the system.
Son Tung Ngo +3 more
doaj +1 more source
The Analytic Hierarchy Process, Max Algebra and Multi-objective Optimisation [PDF]
, 2012 The Analytic Hierarchy Process (AHP) is widely used for decision making involving multiple criteria. Elsner and van den Driessche introduced a max-algebraic approach to the single criterion AHP.
Baccelli +29 more
core +2 more sources
Improved Memetic Algorithm for Multi-depot Multi-objective Capacitated Arc Routing Problem [PDF]
MATEC Web of Conferences, 2020 The capacitated arc routing problem (CARP) is a challenging vehicle routing problem with numerous real-world applications. In this paper, an extended version of CARP, the multi-depot multi-objective capacitated arc routing problem (MDMOCARP) is proposed ...
Wan Jie, Chen Xinghan, Li Ruichang
doaj +1 more source
A Bayesian approach to constrained single- and multi-objective optimization [PDF]
, 2016 This article addresses the problem of derivative-free (single- or multi-objective) optimization subject to multiple inequality constraints. Both the objective and constraint functions are assumed to be smooth, non-linear and expensive to evaluate.
A Bayesian +7 more
core +5 more sources
Sub-problem Effectiveness Guided Multi-objective Evolution Algorithm [PDF]
Jisuanji kexueIn order to solve the problems of poor performance and low universality in solving MOPs with unconventional PF based on decomposed multi-objective evolutionary algorithms,a new Multi-Objective Evolution Algorithm based on Decomposition and Sub-problem ...
SUN Liangxu, LI Linlin, LIU Guoli
doaj +1 more source
An Improved Multi-Objective Genetic Algorithm for Solving Multi-objective Problems [PDF]
Applied Mathematics & Information Sciences, 2013 Multi-objective optimization (MO) has been an active area of research in the last two decades. In multi-objective genetic algorithm (MOGA), the quality of newly generated offspring of the population will directly affect the performance of finding the Pareto optimum.
Sheng-Ta Hsieh +2 more
openaire +1 more source
Bounded Decentralised Coordination over Multiple Objectives [PDF]
, 2011 We propose the bounded multi-objective max-sum algorithm (B-MOMS), the first decentralised coordination algorithm for multi-objective optimisation problems.
Delle Fave, Francesco Maria +3 more
core +1 more source
A guided search non-dominated sorting genetic algorithm for the multi-objective university course timetabling problem [PDF]
, 2011 Copyright @ Springer-Verlag Berlin Heidelberg 2011.The university course timetabling problem is a typical combinatorial optimization problem. This paper tackles the multi-objective university course timetabling problem (MOUCTP) and proposes a guided ...
D. Datta +10 more
core +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Multi-objective Contextual Multi-armed Bandit with a Dominant Objective
, 2018 In this paper, we propose a new multi-objective contextual multi-armed bandit (MAB) problem with two objectives, where one of the objectives dominates the other objective.
Tekin, Cem, Turgay, Eralp
core +3 more sources