Implementation of first order differential arrays in the time domain

This update introduces the implementation of first order Differential Microphone Arrays (DMA) in the time domain and adds a whole bunch of new features and bug fixes.

Optimisation/Memetic Algorithm/MATLAB/Functions/locSearch.m

@@ -3,7 +3,7 @@
 % Author: Achilles Kappis
 % e-mail: axilleaz@protonmail.com
 %
-% Date: 30/11/2023 (DD/MM/YYYY)
+% Date: 25/11/2024 (DD/MM/YYYY)
 %
 % Copyright: MIT
 % --------------------------------------------------
@@ -161,13 +161,6 @@ function optimPop = locSearch(pop, fitVals, nNeighbourPts, selMeth, stepSize, nI
     % ====================================================
     % Perform the local search
     % ====================================================
-    % Handle parallel execution
-    if locOptParExec
-        nWorkers = gcp().NumWorkers;
-    else
-        nWorkers = 0;
-    end
-
     % Parameters
     rngFactor = stepSize(2, :) - stepSize(1, :); % Factor determining the range of the values
     sftFactor = stepSize(1, :); % Factor shifting the mean of the values
@@ -177,7 +170,7 @@ function optimPop = locSearch(pop, fitVals, nNeighbourPts, selMeth, stepSize, nI
     optimPop = zeros(size(pop));
 
     % Go through the population
-    parfor (popIdx = 1:size(pop, 1), nWorkers)
+    parfor popIdx = 1:size(pop, 1)
         optimPop(popIdx, :) = pop(popIdx, :);
 
         % Loop conditions
@@ -230,4 +223,5 @@ function optimPop = locSearch(pop, fitVals, nNeighbourPts, selMeth, stepSize, nI
                 end
             end
         end
-    end
\ No newline at end of file
+    end
+end
\ No newline at end of file