%PDF-1.5 % 1 0 obj << /S /GoTo /D (section.1) >> endobj 4 0 obj (Introduction) endobj 5 0 obj << /S /GoTo /D (subsection.1.1) >> endobj 8 0 obj (Related work) endobj 9 0 obj << /S /GoTo /D (subsubsection.1.1.1) >> endobj 12 0 obj ([id=MO1]Continuous search spaces for VRPs) endobj 13 0 obj << /S /GoTo /D (subsubsection.1.1.2) >> endobj 16 0 obj ([id=MO1]Other geometric approaches) endobj 17 0 obj << /S /GoTo /D (subsubsection.1.1.3) >> endobj 20 0 obj ([id=MO1]State-of-the-art algorithms for DVRP) endobj 21 0 obj << /S /GoTo /D (subsubsection.1.1.4) >> endobj 24 0 obj ([id=MO1]Recent works on DVRP) endobj 25 0 obj << /S /GoTo /D (subsection.1.2) >> endobj 28 0 obj (Main contribution) endobj 29 0 obj << /S /GoTo /D (section.2) >> endobj 32 0 obj (Population based optimization algorithms for solving DVRP) endobj 33 0 obj << /S /GoTo /D (subsection.2.1) >> endobj 36 0 obj (Particle Swarm Optimization) endobj 37 0 obj << /S /GoTo /D (subsection.2.2) >> endobj 40 0 obj (Differential Evolution) endobj 41 0 obj << /S /GoTo /D (section.3) >> endobj 44 0 obj (Dynamic Vehicle Routing Problem) endobj 45 0 obj << /S /GoTo /D (subsection.3.1) >> endobj 48 0 obj (Problem formulation) endobj 49 0 obj << /S /GoTo /D (subsection.3.2) >> endobj 52 0 obj (Dynamic features) endobj 53 0 obj << /S /GoTo /D (subsection.3.3) >> endobj 56 0 obj (Measuring a degree of problem dynamism) endobj 57 0 obj << /S /GoTo /D (subsection.3.4) >> endobj 60 0 obj (Operational parameters influencing the DoD) endobj 61 0 obj << /S /GoTo /D (subsubsection.3.4.1) >> endobj 64 0 obj (Cut-off time) endobj 65 0 obj << /S /GoTo /D (subsubsection.3.4.2) >> endobj 68 0 obj (Number of time slices) endobj 69 0 obj << /S /GoTo /D (subsubsection.3.4.3) >> endobj 72 0 obj (Advanced commitment time) endobj 73 0 obj << /S /GoTo /D (subsubsection.3.4.4) >> endobj 76 0 obj (Summary) endobj 77 0 obj << /S /GoTo /D (section.4) >> endobj 80 0 obj (VRP in continuous search space) endobj 81 0 obj << /S /GoTo /D (subsection.4.1) >> endobj 84 0 obj (Continuous VRP encodings) endobj 85 0 obj << /S /GoTo /D (subsubsection.4.1.1) >> endobj 88 0 obj (Priorities and clusters centers) endobj 89 0 obj << /S /GoTo /D (subsubsection.4.1.2) >> endobj 92 0 obj (Priorities only) endobj 93 0 obj << /S /GoTo /D (subsubsection.4.1.3) >> endobj 96 0 obj (Multicluster centers) endobj 97 0 obj << /S /GoTo /D (subsubsection.4.1.4) >> endobj 100 0 obj ([id=MO1]Complexity of solutions decoding) endobj 101 0 obj << /S /GoTo /D (subsubsection.4.1.5) >> endobj 104 0 obj (Summary of encoding schemes) endobj 105 0 obj << /S /GoTo /D (subsubsection.4.1.6) >> endobj 108 0 obj (Final remarks) endobj 109 0 obj << /S /GoTo /D (section.5) >> endobj 112 0 obj (The Parallel Services approach and the ContDVRP algorithm) endobj 113 0 obj << /S /GoTo /D (subsection.5.1) >> endobj 116 0 obj (Key features of ContDVRP) endobj 117 0 obj << /S /GoTo /D (subsubsection.5.1.1) >> endobj 120 0 obj (Solution transfer between problem states \(time slices\)) endobj 121 0 obj << /S /GoTo /D (subsubsection.5.1.2) >> endobj 124 0 obj (Taking into account unknown [id=MO1]future requestssolutions) endobj 125 0 obj << /S /GoTo /D (section.6) >> endobj 128 0 obj (Results) endobj 129 0 obj << /S /GoTo /D (subsection.6.1) >> endobj 132 0 obj (Experimental setup) endobj 133 0 obj << /S /GoTo /D (subsubsection.6.1.1) >> endobj 136 0 obj (Results comparison) endobj 137 0 obj << /S /GoTo /D (subsection.6.2) >> endobj 140 0 obj (Relevance of the optimization algorithm selection) endobj 141 0 obj << /S /GoTo /D (subsection.6.3) >> endobj 144 0 obj (Impact of the penalty term) endobj 145 0 obj << /S /GoTo /D (subsection.6.4) >> endobj 148 0 obj (Measuring stability of solutions) endobj 149 0 obj << /S /GoTo /D (subsection.6.5) >> endobj 152 0 obj (Algorithm behavior for various cut-off times) endobj 153 0 obj << /S /GoTo /D (section.7) >> endobj 156 0 obj (Conclusions) endobj 157 0 obj << /S /GoTo /D [158 0 R /Fit] >> endobj 160 0 obj << /Length 2624 /Filter /FlateDecode >> stream xڅvܸeޣi;4JdŊ8l6_ft|iBUvsBWo"$pk_eĩsup/PnmcWCY0]k qZm`ӛӮϗr,*{{'|GS?TIhd X۱t Q:ILA|^ѩy$x(U \ϲނA͗ `{'4̐Di8hQN- iB?@+-n0 #XVJ|<E~XRI= i1.5]o Nn'm{x2bߴU3YZ;^GHcέ6l=Le.=6mmë62cҠ(cVG{~lw$12<2r>~xCB ỎES-,ws$ #@ոr>]N |כ~L1x1b}zR{0Kv<';3X43ojADi؛aAGd&l@CY&=thvgrJ-xs2b_9PkQƔ C19i'@87- 36ɣT]Թ#Jv2ikr``3z>99X! pGbx KXL-%v\QgpgV1}a #+_ke=zEY XyMi[5lt$Ok{nE[L;$cUOG