The real world applications of optimisation algorithms often are only interested in the running time of an algorithm, which can frequently be significantly reduced through parallelisation. We present two methods of parallelising the recursive algorithm presented by Ozlen, Burton and MacRae [J. Optimization Theory and Applications; 160:470--482, 2014]. Both new methods utilise two threads and improve running times. One of the new methods, the Meeting algorithm, halves running time to achieve near-perfect parallelisation, allowing users to solve bi-objective integer problems with more variables
Utku Koç (MEF Author)We present an approach to parallelize generation of feasible mixed integer solu...
International audienceThe branch and bound (B&B) algorithm is one of the most used methods to solve ...
AbstractThis is a tutorial introduction to the literature on parallel computers and algorithms that ...
The real world applications of optimisation algorithms often are only interested in the running time...
Exactly solving multiobjective integer programming (MOIP) problems is often a very time-consuming pr...
Abstract — The aim of this article is to propose the object-oriented design of the Bob++ framework. ...
This paper introduces an improved recursive algorithm to generate the set of all nondominated object...
The increasing exploration of alternative methods for solving optimization problems causes that para...
Bi-objective optimisation aims to optimise two generally competing objective functions. Typically, i...
The new computational technologies are having a very strong influence on numerical optimization, in ...
In this paper, a bi-objective integer programming problem is analysed using the characteristic equat...
AbstractThis paper presents an integrated approach to parallel solution of global optimization time-...
This paper presents a multiple reference point approach for multi-objective optimization problems of...
This paper discussed two computationally intensive optimisation algorithms for 0-1 integer programs,...
Branch and Bound technique is commonly used for intelligent search in finding a set of integer solut...
Utku Koç (MEF Author)We present an approach to parallelize generation of feasible mixed integer solu...
International audienceThe branch and bound (B&B) algorithm is one of the most used methods to solve ...
AbstractThis is a tutorial introduction to the literature on parallel computers and algorithms that ...
The real world applications of optimisation algorithms often are only interested in the running time...
Exactly solving multiobjective integer programming (MOIP) problems is often a very time-consuming pr...
Abstract — The aim of this article is to propose the object-oriented design of the Bob++ framework. ...
This paper introduces an improved recursive algorithm to generate the set of all nondominated object...
The increasing exploration of alternative methods for solving optimization problems causes that para...
Bi-objective optimisation aims to optimise two generally competing objective functions. Typically, i...
The new computational technologies are having a very strong influence on numerical optimization, in ...
In this paper, a bi-objective integer programming problem is analysed using the characteristic equat...
AbstractThis paper presents an integrated approach to parallel solution of global optimization time-...
This paper presents a multiple reference point approach for multi-objective optimization problems of...
This paper discussed two computationally intensive optimisation algorithms for 0-1 integer programs,...
Branch and Bound technique is commonly used for intelligent search in finding a set of integer solut...
Utku Koç (MEF Author)We present an approach to parallelize generation of feasible mixed integer solu...
International audienceThe branch and bound (B&B) algorithm is one of the most used methods to solve ...
AbstractThis is a tutorial introduction to the literature on parallel computers and algorithms that ...