* authors.bib (Korhonen_P): New.

 * articles.bib (KorSilWalOor2012linear,MasHwa1981isgp): New.

articles.bib

@@ -6093,7 +6093,7 @@ @Article{FowGelKok2010ejor
   year =         2010,
   doi =          {10.1016/j.ejor.2010.02.027},
   author =       {John W. Fowler} #and# {Esma S. Gel} #and# Koksalan #and#
-                  {Pekka Korhonen} #and# {Jon L. Marquis} #and# Wallenius_J,
+                  Korhonen_P #and# {Jon L. Marquis} #and# Wallenius_J,
   keywords =     {Interactive optimization, Multi-objective optimization,
                   Evolutionary optimization, Knapsack problem},
   abstract =     {We present a new hybrid approach to interactive evolutionary
@@ -9757,6 +9757,37 @@ @Article{KorSilRob04:ml-aco
   pages =        {785--801}
 }
 
+@Article{KorSilWalOor2012linear,
+  author       = Korhonen_P #and# {Silvennoinen, Kari} #and# Wallenius_J #and#
+                  {{\"O}{\"o}rni, Anssi},
+  title        = {Can a linear value function explain choices? {An}
+                  experimental study},
+  journal      = ejor,
+  year         = 2012,
+  volume       = 219,
+  number       = 2,
+  pages        = {360--367},
+  month        = jun,
+  shorttitle   = {Can a linear value function explain choices?},
+  doi          = {10.1016/j.ejor.2011.12.040},
+  abstract     = {We investigate in a simple bi-criteria experimental study,
+                  whether subjects are consistent with a linear value function
+                  while making binary choices. Many inconsistencies appeared in
+                  our experiment. However, the impact of inconsistencies on the
+                  linearity vs. non-linearity of the value function was
+                  minor. Moreover, a linear value function seems to predict
+                  choices for bi-criteria problems quite well. This ability to
+                  predict is independent of whether the value function is
+                  diagnosed linear or not. Inconsistencies in responses did not
+                  necessarily change the original diagnosis of the form of the
+                  value function. Our findings have implications for the design
+                  and development of decision support tools for Multiple
+                  Criteria Decision Making problems.},
+  language     = {en},
+  keywords     = {Binary choices, Inconsistency, Linear value function,
+                  Multiple criteria, Weights}
+}
+
 @Article{KorStuExn07:si,
   author =       Korb_O #and# Stuetzle #and# Exner,
   title =        {An Ant Colony Optimization Approach to Flexible
@@ -11913,6 +11944,32 @@ @Article{MarVig1998exact
   doi =          {10.1287/mnsc.44.3.388}
 }
 
+@Article{MasHwa1981isgp,
+  author       = {Masud, Abu S. and Hwang, C. L.},
+  title        = {Interactive Sequential Goal Programming},
+  journal      = jors,
+  year         = 1981,
+  volume       = 32,
+  number       = 5,
+  pages        = {391--400},
+  month        = may,
+  issn         = {1476-9360},
+  doi          = {10.1057/jors.1981.76},
+  abstract     = {This paper introduces a new solution method based on Goal
+                  Programming for Multiple Objective Decision Making (MODM)
+                  problems. The method, called Interactive Sequential Goal
+                  Programming (ISGP), combines and extends the attractive
+                  features of both Goal Programming and interactive solution
+                  approaches for MODM problems. ISGP is applicable to both
+                  linear and non-linear problems. It uses existing single
+                  objective optimization techniques and, hence, available
+                  computer codes utilizing these techniques can be adapted for
+                  use in ISGP. The non-dominance of the "best-compromise"
+                  solution is assured. The information required from the
+                  decision maker in each iteration is simple. The proposed
+                  method is illustrated by solving a nutrition problem.}
+}
+
 @Article{MasLopDubStu2014cor,
   author =       Mascia_F #and# Lopez-Ibanez #and# Dubois-Lacoste #and#
                   Stuetzle,
@@ -17022,7 +17079,7 @@ @Article{Thi2011cw
 }
 
 @Article{ThiMieKorMol2009ec,
-  author =       Thiele #and# Miettinen #and# {Korhonen, Pekka J.} #and#
+  author =       Thiele #and# Miettinen #and# Korhonen_P #and#
                   Molina_J,
   title =        {A Preference-Based Evolutionary Algorithm for Multi-Objective
                   Optimization},
@@ -18588,7 +18645,6 @@ @Article{ranger2017:jss
   pages =        {1--17},
   doi =          {10.18637/jss.v077.i01}
 }
-
 @Article{scikit-learn2011,
   title =        {Scikit-learn: Machine learning in {\proglang{Python}}},
   author =       {Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel,

authors.bib

@@ -457,6 +457,7 @@ @string{Kollat
 @string{Komninos = "Alexandros Komninos "}
 @string{Kononova_A = " Anna V. Kononova "}
 @string{Korb_O = " Oliver Korb "}
+@string{Korhonen_P = " Pekka Korhonen "}
 @string{Korosec = " P. Koro{\v s}ec "}
 @string{Korst_JHM = " Jan H. M. Korst "}
 @string{Kotthoff_L = "Kotthoff, Lars"}