% N-SITE problem % Road Network Maintenance Problem % % Determine which worksheets to execute on which day so that the road network is not perterbed too much % Each worksheet is a contiguous set of daily tasks on roads: specified by a road and number of workers % Worksheets have an importance defining how important they are to execute % % Constraints to satisfy are: % Earliest and latest start times of worksheets % Not too many workers from each work center on any day % For each of a number of given sets of roads never blocking more than a given amount % Some worksheets must be executed % Precedence rules between pairs of worksheets % PARAMETERS int: days; % number of dayso set of int: DAY = 0..days-1; int: roads; % number of roads int: centers; % number of centers int: worksheets; % number of worksheets int: activities; % number of activities set of int: ROAD = 0..roads-1; set of int: ROAD0 = -1..roads-1; array[ROAD0,DAY] of int: perterb; % perturbation cost of road on each day set of int: CENTER = 0..centers-1; % index set for centers array [CENTER] of int: c_id; % id of each center array [CENTER] of int: available_workers; % number of available workers per center set of int: WORKSHEET = 0..worksheets-1; % index set for workseets array [WORKSHEET] of int: w_id; % id of each worksheet array [WORKSHEET] of int: work_center; % id of the work center where used by each worksheet array [WORKSHEET] of 0..1: mandatory; % whether each worksheet is mandatory array [WORKSHEET] of int: importance; % importance of each worksheet array [WORKSHEET] of int: est; % earliest starting time for each worksheet array [WORKSHEET] of int: lst; % latest starting time for each worksheet array [WORKSHEET] of int: duration; % duration in days of each worksheet set of int: ACTIVITY = 0..activities-1; array [WORKSHEET,ACTIVITY] of ROAD0: road; % road used by each worksheet on a given day -1 = none array [WORKSHEET,ACTIVITY] of int: workers; % number of workers used by each worksheet on a given day int: blocked_max; % number of maximum blocked rules for this instance set of int: BLOCKED = 1..blocked_max; % index set for maximum blocked rules array [BLOCKED] of ROAD: blocked_max_amount; % max amount of roads that can be blocked of a given set array [BLOCKED] of set of ROAD: blocked_roads; % the set of roads that the max amount refers to int: precedences; % number of precedence rules for this instance set of int: PREC = 1..precedences; % index set for the precedence rules array [PREC] of WORKSHEET: preceeds; % the predecessor worksheet in a given rule array [PREC] of WORKSHEET: succeeds; % the successor worksheet in a given rule % DECISION VARIABLES array [WORKSHEET] of var 0..1: g; % 1 if the worksheet is executed array [WORKSHEET] of var DAY: d; % start time of worksheet array [WORKSHEET] of var DAY: e = array1d(WORKSHEET,[ d[w] + duration[w] | w in WORKSHEET ]); % end time of worksheet % Fixing unused variables constraint forall(w in WORKSHEET)(g[w] = 0 <-> d[w] = est[w]); % Fits in schedule constraint forall(w in WORKSHEET)(e[w] <= days); % CONSTRAINTS % Precedences within Worksheet % Worksheet Earliest Starting Time constraint forall (w in WORKSHEET) (est[w] <= d[w]); % Worksheet Latest Starting Time constraint forall (w in WORKSHEET) (d[w] <= lst[w]); % Complete WORKSHEET % Mandatory WORKSHEET constraint forall (w in WORKSHEET) (g[w] >= mandatory[w]); % Precedence Between Worksheets % if both worksheets execute then the end of w1 is before the start of w2 constraint forall (i in PREC) (let { WORKSHEET: w1 = preceeds[i]; WORKSHEET: w2 = succeeds[i]; } in g[w1] * e[w1] <= d[w2] + days * (1 - g[w2])); % Maximal Number of Roads Simultaneously Blocked include "global_cardinality_low_up.mzn"; constraint forall(b in BLOCKED)( global_cardinality_low_up( [ (d[w] + a + 1)*g[w] %% add one to separate 0 = not executed | w in WORKSHEET, a in 0..duration[w]-1 where road[w,a] in blocked_roads[b]], [ d + 1 | d in DAY], %% looking for day + 1 [ 0 | d in DAY], [blocked_max_amount[b] |d in DAY] ) ); % Work Center Capacity include "cumulative.mzn"; constraint forall(c in CENTER) ( if length([w | w in WORKSHEET where work_center[w] = c]) > 0 then cumulative([ d[w] + a | w in WORKSHEET where work_center[w] = c, a in 0..duration[w] - 1 ], [ g[w] | w in WORKSHEET where work_center[w] = c, a in 0..duration[w] - 1 ], [ workers[w,a] | w in WORKSHEET where work_center[w] = c, a in 0..duration[w]-1 ], available_workers[c]) else true endif); % OBJECTIVE var 0..worksheets * max(importance): importance_obj = sum (w in WORKSHEET) (g[w]*importance[w]); int: perterb_obj_ub = max(array1d(perterb)) * days; var 0..perterb_obj_ub: perterb_obj = max(i in DAY)( sum(w in WORKSHEET, a in 0..duration[w]-1)( g[w] * perterb[road[w,a], i] * (i = d[w]+a) ) ); var -ub(perterb_obj)..ub(importance_obj): objective; constraint objective = importance_obj - perterb_obj; array[int] of int: import_first = reverse(arg_sort(importance)); solve :: int_search( [ if j = 1 then g[import_first[i]] else -d[import_first[i]] endif | i in 1..worksheets, j in 1..2], input_order, indomain_max, complete) maximize objective; output [ "g = array1d(\(WORKSHEET), \(g));\n", "d = array1d(\(WORKSHEET), \(d));\n", "objective = \(objective);\n" ];