Results 21 to 30 of about 8,593,463 (294)

Multi-objective Tabu Search 2: first technical report [PDF]

open access: yes, 2015
The purpose of this document is to describe Multi-Objective Tabu Search 2 (MOTS2), which is a native mutli-objective optimiser. It has been developed to tackle a variety of real-world problems of engineering interest. The design and implementation are
Tsotskas, Christos   +2 more
core   +7 more sources

Fuzzy goal programming applied to multi-objective programming problem with FREs as constraints [PDF]

open access: yesDecision Science Letters, 2015
This paper presents an alternate technique based on fuzzy goal programming (FGP) approach to solve multi-objective programming problem with fuzzy relational equations (FREs) as constraints.
Kailash Lachhwani
doaj   +1 more source

Optimizing Design of Smart Workplace through Multi-Objective Programming

open access: yesApplied Sciences, 2021
Smart environments have proven very supportive to the improvement of the performance of people in different workplaces. Plenty of applications have been introduced spanning different settings including healthcare, ambient assisted living, homes, offices,
Shady Aly, Jan Tyrychtr, Ivan Vrana
doaj   +1 more source

Solving ATM Locating Problem Using Fuzzy Multi-Objective programming [PDF]

open access: yesMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2017
This paper focused on locating ATMs problem. At first, this paper aims to identify effective factors in selecting ATMs appropriate locations. After selecting potential locations, optimal locations are determined through mathematical modeling.
Hamid Shahbandarzadeh   +1 more
doaj   +1 more source

K-means cluster interactive algorithm-based evolutionary approach for solving bilevel multi-objective programming problems

open access: yesAlexandria Engineering Journal, 2022
Solving bilevel multi-objective programming problems is one of the hardest tasks facing researchers in the optimization community. Bilevel multi-objective programming problems is an optimization problem consists of two interconnected hierarchical multi ...
Y. Abo-Elnaga, S. Nasr
doaj   +1 more source

GeQuPI: Quantum Program Improvement with Multi-Objective Genetic Programming

open access: yesJournal of Systems and Software, 2023
To tackle the challenge of debugging and optimizing quantum programs, we propose the Genetic Quantum Program Improver (GeQuPI), a framework for the automated improvement of the accuracy and efficiency of quantum circuits. Our framework uses techniques from quantum information theory and applies multi-objective genetic programming, which can be further ...
Felix Gemeinhardt   +2 more
openaire   +3 more sources

Farm Planning by Fuzzy Multi Objective Programming Model [PDF]

open access: yesJournal of Agricultural Science and Sustainable Production, 2010
In current study, Fuzzy Goal Programming (FGP) model by considering a set of social and economic goals, was applied to optimal land allocation in Koshksaray district, Marand city, East Azarbaijan province, Iran.
m Raei Jadidi, m Sabuhi Sabuni
doaj  

Multi-objective optimization techniques in electricity generation planning [PDF]

open access: yes, 2011
The objective of this research is to develop a framework of multi-objective optimization (MOO) models that are better capable of providing decision support on future long-term electricity generation planning (EGP), in the context of insufficient ...
Tuyiragize, Richard, Richard Tuyiragize
core   +1 more source

Involving fuzzy orders for multi-objective linear programming

open access: yesMathematical Modelling and Analysis, 2012
This paper presents a solution approach for multi-objective linear programming problem. We propose to involve fuzzy order relations to describe the objective functions where in ”classical” fuzzy approach the membership functions which illustrate how far ...
Olga Grigorenko
doaj   +1 more source

Approach of Solving Multi-objective Programming Problem by Means of Probability Theory and Uniform Experimental Design

open access: yesTehnički 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

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