Changes in version 1.0.0.15                       

    o   xegaObservePopulation: 
	Number of genes with same fitness added as 9th value 
	in statistics vector. Indicates premature convergence.

                      Changes in version 1.0.0.14                       

    o   Added rmpiLapply as parallel execution model.

    o   Added pid to output for verbose > 1.

    o   Dropped vector of gene indices with equal fitness from 
	xegaSummaryPopulation.

                      Changes in version 1.0.0.13                       

    o   Added Pipeline method "NoPipe" to lFxegaGaGene in all examples
	with an evaluation of a population of genes.

                Changes in version 1.0.0.12 (2026-02-17)                

    o   asPipelineId()       No pipeline configuration.

    o   asPipelineG()        Embed pipeline in gene. 

    o   xegaAsPipelineFactory()  Configuration of pipeline configuration.

                Changes in version 1.0.0.11 (2025-11-26)                

    o   asPipeline()         Changed to sequential version.
	                     Reason: 1. Pipeline compilation and rmpi. 

                Changes in version 1.0.0.10 (2025-08-22)                

    o   xegaConfiguration(): Changes problem and grammar parameters 
	                     from positional to named arguments.

                       Changes in version 1.0.0.9                       

    o   xegaNextPopulation()  Moved updates of lF out to main loop in xegaRun.

                Changes in version 1.0.0.8 (2025-07-30)                 

    o   asPipeline()          Converts a population into a list of operator pipelines.

    o   xegaEvalPopulation()  Evaluation of operator pipelines added.

    o   xegaNextPopulation()  Elitist support for operator pipelines added.

                Changes in version 1.0.0.7 (2025-04-16)                 

    o   terminateGEQ()  Terminate if the (phenotype) value of a solution 
	                is greater or equal than a threshold.

    o   terminateLEQ()  Terminate if the (phenotype) value of a solution 
	                is less or equal than a threshold.

                       Changes in version 1.0.0.6                       

    o   Examples for futureLapplyHet, PparLapply, and PparLapplyHet fixed 
	by Henrik Bengtsson. 

                       Changes in version 1.0.0.5                       

    o   terminatePAC()  Terminate if an epsilon-environment of an 
	                 estimated upper PAC bound of the optimal solution 
	                 is reached.

                       Changes in version 1.0.0.4                       

    o   xegaPopulation.R function xegaBestInPopulation: 

    o   Evaluation of bestGene omitted
	        and all fields in solution record now derived
	        from bestGene. 
	        Rationale: xegaRepEval provides aggregated statistics 
	                   with any setting of the evaluation function. 
	                   All fields derived from fit are now 
	                   mean fitnesses which should approximate 
	                   the expected fitness of a gene for 
	                   a sufficiently high number of repeated evaluations.

    o   terminate.R contains:
	      terminatedFalse()
	      terminatedAbsoluteError()
	      terminatedRelativeError()
	      TerminationFactory()
	      Rationale: Provides a set of standard termination conditions
	                 to avoid their reimplementation in each problem 
	                 environment which uses them.

    o   xegaEvalPopulation.R contains:
	      xegaEvalPopulation()
	      xegaRepEvalPopulation()
	      xegaEvalPopulationFactory()
	      Rationale: Provides an evaluation function for repeated 
	                 evaluations of stochastic functions.
	      xegaLogEvalsPopulation()  Reporting of sigma and obs added.
	                                For assessing stability of mean fitness
	                                of stochastic problems.

                       Changes in version 1.0.0.3                       

    o   ApplyFactory:
	      PparLapplyHet() added. For tasks with a high variance of 
	      execution times.

    o   ApplyFactory:
	      futureLapplyHet() added. For tasks with a high variance of 
	      execution times.

                       Changes in version 1.0.0.2                       

    o   ApplyFactory:
	      MClapplyHet() added. For tasks with a high variance of 
	      execution times.

                       Changes in version 1.0.0.1                       

    o   CoolingFactory:
	      Message text corrected.