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Module 17 · Lesson 17.3

Choosing, and recording why

Knee points, crowding, changing the axes — and the decision record that outlives the decision.

Why this matters

The front has narrowed the options and refused to choose. Somebody now has to.

This lesson covers the two measures that are offered as help — and are routinely mistaken for answers — the fact that changing the objectives changes the whole picture, and the record that makes the choice defensible later.

By the end of this lesson you should be able to

  • Compute a knee point and state what it depends on
  • Use crowding distance to keep a spread rather than to rank quality
  • Show that changing the objectives changes the front
  • Complete a decision record and say why each field is there

The knee

The knee is the front member furthest from the straight line joining the two extremes: the point where the trade-off curve bends most sharply. Past it, further gain in one objective starts costing disproportionately in the other.

It is a good place to start a conversation and a bad place to end one, for three reasons:

It depends on the axes. Swap one objective for another and the knee moves.

It depends on the scaling. The measure normalises each objective to 0–1 across the front, so the knee's position depends on how wide that range happens to be — which depends on which designs you included.

It knows nothing about who is paying. A client who has committed publicly to a carbon target does not want the knee; they want the low-carbon end, and no geometric property of the curve says so.

Crowding distance

How isolated a front member is from its neighbours. The two extremes are infinitely isolated by convention, and interior members are scored by how much of the front they have to themselves.

It is a diversity measure, not a quality one. A design with a large crowding distance occupies a region of the trade-off that nothing else does — which is a reason to keep it in the conversation, and no reason at all to build it.

Its main use is inside a multi-objective search, to stop a population collapsing onto one part of the front. Presented to a human it answers 'which options are genuinely different from each other?', which is a useful question when a list of twelve schemes turns out to be three schemes and nine variations.

Change the axes and the front changes

This is the point that most needs demonstrating, because a front looks authoritative.

Take the same four schemes. On carbon against depth, three are on the front and the composite steel frame is dominated.

Now plot mass against carbon instead. The CLT hybrid has both the lowest mass and the lowest carbon, so it dominates all three others outright. The front collapses to a single design, and two schemes that were legitimate answers a moment ago are eliminated.

Neither front is wrong. They answer different questions, and the objectives you chose are the question. Choosing them is a design decision that happens before any of the arithmetic, and it gets far less scrutiny than the arithmetic does.

A Pareto front is a rigorous answer to whatever question you posed. It has no view on whether that was the right question.

The decision record

A record needs five things:

  • What was chosen.
  • Which objectives it was assessed on, and why those.
  • What was rejected, and because of what. Not 'it scored lower' — the actual reason.
  • The reason for the choice.
  • Who decided, and when.

And one more that is not optional in practice: what influenced the decision that was not in the model. The contractor's familiarity, the programme, the planning position, the client's public commitments. Those things decide real projects and they are invisible in any front. Writing them down is what stops the record looking like the arithmetic made the choice.

Six months later the choice is a fact and the reason is gone. The record exists for the person who has to change something and needs to know what the original decision depended on.

Worked example

The same four schemes, two different fronts

Given

  • CLT hybrid: 1 754 t mass, 447 tCO₂e, 465 mm depth
  • Band beam: 3 798 t, 666 tCO₂e, 374 mm
  • Composite steel: 2 864 t, 782 tCO₂e, 480 mm
  • Flat slab: 4 963 t, 866 tCO₂e, 318 mm

Find

The front on carbon-versus-depth, and on mass-versus-carbon

    Practice

    A front has four members with crowding distances of ∞, 1.31, 1.11 and ∞. How many of them are extremes of the front?

    Practice

    Four schemes are assessed on two objectives. Three are non-dominated and one is beaten on both. What percentage of the option set did the arithmetic eliminate?

    Check yourself

    A decision record says: 'CLT hybrid selected. Lowest carbon and lowest mass. Decided by the design team, 14 March.' What is missing?

    Check yourself

    What makes a multi-objective decision reviewable a year later?

    Summary

    • The knee is where the trade-off bends most; it depends on the axes, the scaling and nothing about who is paying
    • Crowding measures diversity, not quality — the extremes are infinite by convention
    • Change one objective and the front can collapse from three members to one
    • The objectives you chose are the question, and choosing them gets less scrutiny than the arithmetic
    • A decision record needs the objectives, the rejections with reasons, and what mattered from outside the model
    Progress is kept in this browser only.

    This is educational material. It uses simplified examples to teach principles, and must not be relied on for real design or safety-critical decisions. Module overview and checkpoint