A hybrid project scheduling and material ordering problem: Modeling and solution algorithms

A Multi-Objective Scheduling Algorithm for Multi-Mode Resource Constrained Projects in the Presence of Uncertain Resource Availability

“…Tao and Dong (2018) used NSGA-II to reduce the cost and reduce the time of the project to solve the time-limited problem of multi-objective multimodal resource projects with alternative project structures. Zoraghi et al (2017) proposed a model to solve the problem of supplying materials in order to reduce project completion time, reducing costs, and increasing the scheduling stability, and solving this model using NSGA-II. Ansarifar et al (2018) provided a multi-objective model with a heuristic algorithm to find the optimal points for allocating the location of the ambulance stations and helicopter ambulances in order to respond quickly (reduce service delivery time) and reduce the cost of providing emergency services.…”

A bi-objective robust resource allocation model for the RCPSP considering resource transfer costs

“…In this vein, two new metrics have been defined to evaluate the quality of the Pareto solutions reported by the two algorithms (Zoraghi et al, 2017). The first metric is a general distance ( ' GD ) similar to Eq.…”

“…Number of non-dominated solutions (NDS):This measure counts the total number of non-dominated solutions acquired by an algorithm. It is preferred that an algorithm should produce as many non-dominated solutions as possible, in order to provide an adequate number of choices.General distance (GD): This metric estimates how far a Pareto front P is away from the optimal Pareto front * P(Zoraghi et al, 2017). Eq.…”

توسعه‌ی مدلی برای مسئله‌ی تسطیح منابع و سفارش‌دهی مواد با شدت اجرای متغیر

“…'O=wt |yOVQ=iU '`@=vt K}]UD 'OwOLt`@=vt =@ xSwQB |Ov@u=tR %|O}rm u=oS=w "|rm h}iND ' [3] "CU= Q=OQwNQ@ \w@Qt |=yxv}Ry pm 'Q}PBO}OHD`@=vt |Q}oQ=mx@ C=v=Uwv pQDvm Q@ uwRi= xm [2] nv}v w w} 'u}= Q@ xwqa [1] "O@=} Q}F -=D CLD |yHwD p@ [14] T}m \UwD =OD@= Q}eDt |= QH= COW "OR=U QDl}ORv |ak=ẁ @=vt Cr=L u}= QO "OvOQm O=} u; R= |Q=m |=wDLt u=wva =@ [15] [4] C}tU= w wvq}wm ; \UwD O=wt |Q=mD@= sD} Qwor= l} 'xt=O= QO w OvO=O xaUwD = Q O=wt C=H=}DL= |R}Qxt=vQ@ w l} u=kkLt u; R= TB [5] "OvOQm O=yvW}B nQR@ T=}kt QO xrUt pL |= Q@ |Ov@u=tR Q@ xwqa 'u; QO xm [6] [8] s=t}r= w u}OwO "OvOQm xt} QH/V=O=B Q=mwR=U =yv; "OvOQm |UQQ@ C}r=ai Q}eDt pw] uDiQo Q_v QO =@ = Q h}iND CU=}U R}v w u; Oawt x@ C@Uv xSwQB uOW p}tmD QDQ}O/QDOwR |= Q@ = Q pOt [9] u= Q=mty w x}O=HU M}W "OvOQ@ Q=m x@ = Q O=wt |Q=O}QN |= Q@ |Q=Okt pL |= Q@ l}DvS sD} Qwor= |x= Q= ut[ = Q [8] s=t}r= w u}OwO |UQQ@ OQwt |@}mQD C}OwOLt =@ xSwQB |Ov@u=tR |xrUt [10] wi "OvO=O xaUwD nQR@ T=}kt =@ p=Ut u; pL Qw_vt x@ w OQm s=eO= O=wt |}xDUO |yOVQ=iU =@ = Q xDr=LOvJ`@=vt l}DvS sD} Qwor= w |k}@]D |vwtQ=y |wHDUH R= pmWDt |@}mQD sD} Qwor= l} xm = Q |DWm CN=U |ak=w |xSwQB l} [1] [11] |QO=k w |R}Q@D "OvO=O xaUwD 'Ow@ |a]kQ}e lQ=OD |SD= QDU= =@ xv=oOvJ u=oOvvmu}t -=D uDiQo Q_v QO =@ = Q O=wt |yOVQ=iU |xrUt w |Ov@u=tR |@}mQD |xrUt [12] u= Q=mty w |kQwR "OvOQm ? }mQD QYLvt |rm h}iND xwqa =yu; "OvO=O xaUwD xiOyxU pOt l} |x= Q= =@ = Q O=wt |yOVQ=iU w xSwQB |Qo}O hOy`@=D 'xSwQB p}tmD u=tR hOy`@=D w xv} Ry hOy`@=D |R=Uxv}tm Q@ [13] xSwQB |Ov@u=tR…”

“…xSwQB |Ov@u=tR [4] 1980 C}tU= w wvq}wm ; [5] 1984 C}tU= w wvq}wm ; [6] 1987 Rr}vO C}tU= w Rr}vO C}tU= [7] 1999 p}BU w |UB Q= [8] 2001 s=t}r= w u}OwO (GA) l}DvS [9] 2009 u= Q=mty w x}O=HU (HS-GA) l}DvS |vwtQ=y |wHDUH [10] 2014 wi [1] 2014 u= Q=mty w C} Ro}O Rto '(GA) l}DvS [11] 2016 |QO=k w |R}Q@D '(NSGAII) xiOyOvJ l}DvS [12] 2017 u= Q=mty w |kQwR '(MOPSO) xiOyOvJ C= QP s=LOR= |xiOyOvJ |rt=mD '(MOEAD) x} RHD Q@ |vD@t wDQ=B Cwk Q@ |vD@t |rt=mD (SPEAII) '(NSGAII) xiOyOvJ l}DvS [13]…”