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On Multi-Objective Evolutionary Algorithms [chapter]

Dalila B. M. M. Fontes, António Gaspar-Cunha
2010 Applied Optimization  
f m (x) ≤ f m (x * ), ∀ m ∈ {1,...  ...  ,M} and ∃ m ∈ {1,...  ... 
doi:10.1007/978-3-540-92828-7_10 fatcat:i4fbc3y7trfitllfqhgo2ahaka

Optimal Control Formulations for the Unit Commitment Problem [chapter]

Dalila B. M. M. Fontes, Fernando A. C. C. Fontes, Luís A. C. Roque
2014 Springer Proceedings in Mathematics & Statistics  
F j (y j (t)) = a j · (y j (t)) 2 + b j · y j (t) + c j , (1) where a j , b j , c j are the cost coefficients of unit j.  ...  With these considerations the problem is formulated as the following NLP Minimize x∈R (6T +1)×N J(x) subject to LB ≤ x ≤ UB A eq x = b eq A ineq x ≤ b ineq g(x) = 0 h(x) ≤ 0.  ... 
doi:10.1007/978-3-319-10046-3_6 fatcat:uuntragogbcxxisgrp34da4bla

Model Predictive Control of Vehicle Formations [chapter]

Fernando A. C. C. Fontes, Dalila B. M. M. Fontes, Amélia C. D. Caldeira
2009 Lecture notes in control and information sciences  
→ IR n , and a set U ⊂ IR m of possible control values.  ...  By selecting the parameter matrix Λ := ⎡ ⎣ λ 1,0 · · · λ 1,n · · · λ m,0 · · · λ m,n ⎤ ⎦ , (22) we define the function σ Λ (x) = Λ 1 x , (23) and therefore we define the switching function σ by (20)  ... 
doi:10.1007/978-3-540-88063-9_21 fatcat:6e5itzoogjea3jplfgfe656isa

Optimal Formation Switching with Collision Avoidance and Allowing Variable Agent Velocities [chapter]

Dalila B. M. M. Fontes, Fernando A. C. C. Fontes, Amélia C. D. Caldeira
2012 Springer Proceedings in Mathematics & Statistics  
That is, we want to find a N- tuple B = [b i ] N i=1 of different elements of F, such that at some time T > 0, Q(T ) = B and all b i ∈ F, with b i = b k . There are M N · N!  ...  Suppose a set of M (with M ≥ N) final positions in R d is specified as F = { f 1 , f 2 , . . . , f M }. The problem is to find an assignment between the N agents and N final positions in F.  ...  It starts by checking the collision condition, given by equation (1) , for the allocation pair i −→ j traveling at velocity v i and k −→ B j traveling at velocity v k , where B j is the optimal target  ... 
doi:10.1007/978-1-4614-3906-6_11 fatcat:iuzuap7v2ng45f2oukpk2vd4iq

A Biased Random Key Genetic Algorithm Approach for Unit Commitment Problem [chapter]

Luís A. C. Roque, Dalila B. M. M. Fontes, Fernando A. C. C. Fontes
2011 Lecture Notes in Computer Science  
F j (Y th, j ) = a j · (Y th t, j ) 2 + b j ·Y th t, j + c j , (1) where a j , b j , c j are the cost coefficients of unit j.  ... 
doi:10.1007/978-3-642-20662-7_28 fatcat:3rlejsva2jdupezg6tntbmawra

Poster city logistics

Norberto Bessa, Dalila B. M. M. Fontes
2014 Proceedings of the 18th International Database Engineering & Applications Symposium on - IDEAS '14  
This research aims to help in establishing new legislative directives by testing their impact both on the company profits and on the life of city residents. A case study is developed and conducted in collaboration with the city hall and with eight companies (four freight transport companies and four retailer companies). The impacts are computed by simulating the companies operation under the new legislation and the new routes are used to analyze the impacts on the city traffic, noise, and congestion.
doi:10.1145/2628194.2628198 dblp:conf/ideas/BessaF14 fatcat:qpqg5vyepng5plm2znpykkx7se

A Stochastic Dynamic Programming Model for Valuing a Eucalyptus Investment [chapter]

M. Ricardo Cunha, Dalila B. M. M. Fontes
2008 Springer Optimization and Its Applications  
The average growth curve for the amount of wood in a hectare of eucalyptus forest land in each of the regions can be observed in Appendix B.  ...  experiments have been performed using three regions in continental Portugal: 1 -north central coast, 2-central coast, and 3 -river Tejo valley, which present different productivity, as shown in Appendix B.  ...  8645 3 50288 32013 41219 27033 28473 17896 4 36748 51148 30550 42949 19540 27830 5 48278 46431 39600 39093 27306 25178 Average 37324 35440 30899 29871 20402 19712 Appendix B  ... 
doi:10.1007/978-0-387-75181-8_16 fatcat:djvuxym3czb3pbfupel3hdci4a

A Hybrid Genetic Algorithm for Constrained Combinatorial Problems: An Application to Promotion Planning Problems [chapter]

Paulo A. Pereira, Fernando A. C. C. Fontes, Dalila B. M. M. Fontes
2011 Operations Research Proceedings  
Maximize ∑ N B i=1 ∑ N S j=1 c i j x i j Subject to: ∑ N S j=1 d j x i j ≤ B i ∀ 1 ≤ i ≤ N B , ∑ N S j=1 d j x i j ≥ b i ∀ 1 ≤ i ≤ N B , ∑ N B i=1 c i j x i j ≥ C j ∀ 1 ≤ j ≤ N S , x i j ∈ {0, 1} ∀ 1 ≤  ...  Problem size is represented as (a, b), where a is the number of breaks and b the number of spots.  ... 
doi:10.1007/978-3-642-20009-0_48 dblp:conf/or/PereiraFF10 fatcat:hjnldegqczdybla3ctgncrvo6y

Concave minimum cost network flow problems solved with a colony of ants

Marta S. R. Monteiro, Dalila B. M. M. Fontes, Fernando A. C. C. Fontes
2012 Journal of Heuristics  
In matrix (B) in Fig. 1 , all pheromone values smaller than τ min or larger than τ max are signalled in bold font.  ...  Here, M is a positive large number (say M ≥ j∈N \{t} d j ). Constraints (4) and (5) refer to the nonnegative and binary nature of the decision variables.  ... 
doi:10.1007/s10732-012-9214-6 fatcat:i3ohsxfgcfguneaifjwmsvy23i

A Genetic Algorithm Approach for the TV Self-Promotion Assignment Problem

Paulo A. Pereira, Fernando A. C. C. Fontes, Dalila B. M. M. Fontes, Theodore E. Simos, George Psihoyios, Ch. Tsitouras
2009 AIP Conference Proceedings  
Maximize ∑ N B i=1 ∑ N S j=1 c i j x i j Subject to: ∑ N S j=1 d j x i j ≤ B i ∀ 1 ≤ i ≤ N B , ∑ N S j=1 d j x i j ≥ b i ∀ 1 ≤ i ≤ N B , ∑ N B i=1 c i j x i j ≥ C j ∀ 1 ≤ j ≤ N S , x i j ∈ {0, 1} ∀ 1 ≤  ...  Problem size is represented as (a, b) , where a is the number of breaks and b the number of spots.  ... 
doi:10.1063/1.3241343 fatcat:zp4rdjrkmng6heuqw2akjd2xae

Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review

João M. R. C. Fernandes, Seyed Mahdi Homayouni, Dalila B. M. M. Fontes
2022 Sustainability  
, which consists of the solutions with wT > wT m and E ≤ E m ; B 3 , which consists of the solutions with wT ≤ wT m and E ≤ E m ; and B 4 , which consists of the solutions with wT > wT m and E > E m .  ...  Let set B consist of the solutions in the top half, and let wT m and E m be, respectively, the median values of wT and E of the solutions in set B.  ... 
doi:10.3390/su14106264 fatcat:dgxc7hif5fdojh2ostiqcpd4oe

Optimal Hop-Constrained Trees for Nonlinear Cost Flow Networks

Dalila B. M. M. Fontes
2010 INFOR. Information systems and operational research  
≤R, a ij r 2 + b ij r + c ij + k otherwise, where a ij = 0 for G1 and G2, k = b ij for G1, and k = −b ij for G2 and G3.  ...  Let G = (W, A) denote a directed network with a set W of n + 1 vertices (the source vertex and n demand vertices) and with a set A of m directed arcs.  ... 
doi:10.3138/infor.48.1.013 fatcat:xhqth4mm2nbibjc3umnrym3bfy

The hop-constrained minimum cost flow spanning tree problem with nonlinear costs: an ant colony optimization approach

Marta S. R. Monteiro, Dalila B. M. M. Fontes, Fernando A. C. C. Fontes
2014 Optimization Letters  
The cost function used in [7] is the −a ij · x 2 ij + b ij · x ij , while [10] use −a ij ·x 2 ij +b ij ·x ij +c ij , and [5] define the cost function as −a ij ·x α ij +b ij ·x ij +c ij with α in  ...  Nonetheless, Fontes [9] provides optimal solution results for cost functions of type F3 and problems with up to 19 nodes.  ... 
doi:10.1007/s11590-014-0762-6 fatcat:nhvxluzyqjcvdcxgttrzxsbxqe

A Decision Support System to Analyze the Influence of Distributed Generation in Energy Distribution Networks [chapter]

J. N. Fidalgo, Dalila B. M. M. Fontes, Susana Silva
2009 Energy Systems  
doi:10.1007/978-3-540-88965-6_4 fatcat:tprdfe6z4jh2hmb3dweynrw5ai

The Maximum Edge Weight Clique Problem: Formulations and Solution Approaches [chapter]

Seyedmohammadhossein Hosseinian, Dalila B. M. M. Fontes, Sergiy Butenko, Marco Buongiorno Nardelli, Marco Fornari, Stefano Curtarolo
2017 Optimization Methods and Applications  
Acknowledgments This work was carried out, while the second author was a visiting scholar at Texas A&M University, College Station, TX, USA, and is partially supported by scholarship SFRH/BSAB/113662/2015  ...  Maximize P n 1 iD1 P n jDiC1 w ij y ij subject to y ij C y ik y jk Ä 1; i; j; k 2 V W i < j < k P j;j>i y ij C P j;j<i y ji Ä b 1; i 2 V y ij C y jl C y lm y il y jm Ä 1; i; j; l; m 2 V W i < j < l < m  ...  Finding a solution to this problem is equivalent to finding a clique of b vertices with maximum weight in an edge-weighted complete graph if edge weights are given by M d e , where M is a strict upper  ... 
doi:10.1007/978-3-319-68640-0_10 fatcat:hlkp2u5bvjee3nmcni4mr4c63u
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